Black in Robotics Reading List
“U.S. history is racist, and the responsibility for fixing systemic racism within [an] institution lies with current members of the institution.” -Black in Engineering
The diversity of researchers in academia, and of Black faculty members in particular, is much lower than it should be and has stalled. This site contains a reading list of work from Black researchers in robotics that will hopefully help in some small way to overcome the systemic dynamics that have led to this imbalance. There are two ways that this list may help: First, to increase the visibility and citations of these researchers by highlighting their research projects and advertising some of their interesting papers. Second, to provide academic role models for aspiring researchers and to normalize Black scholarship. Whether browsing this list online, seeing a researcher on a panel, or reading one of their papers as a class assignment, it is important for all students to see diversity in academia.
Who is this list for? We started to build this list for our own labs and classes, in order to increase the number of Black scholars that we cite and discuss. We hope that it can also be useful for others in the community, especially:
- Undergraduate students looking for possible graduate school mentors.
- Paper authors looking for a citation on a given topic.
- Workshop or panel organizers looking for experts in the field.
- Instructors building a reading list for a class syllabus.
- Everyone in the community who would like to learn more about cutting edge research in different areas of robotics.
Who is on this list? The focus of this list is Black professors and other leading researchers in the US who work in robotics and related fields. While there are many groups that are underrepresented in academic robotics (including Indigenous/Native people, Latinx people, people with disabilities, and women), there is a particularly long and persistent history of suppression of Black Americans in the US. Similarly, this list is primarily Black robotics faculty members, but there are also many great roboticists in industry, and many great academics outside of robotics (e.g. computing, AI, neuro), who should also be celebrated.
Read More: Supporting Black Scholars in Robotics - IEEE Spectrum Automation Blog, Sep. 10, 2020
Associate Professor of Computer Science, University of Alabama
Prof. Anderson directs the Distributed Autonomy Lab, and her research focuses on multiagent/multirobot autonomy, teaming with humans, user interfaces, and their effect on trust.
- Anderson, Monica, and Nikolaos Papanikolopoulos. “Implicit cooperation strategies for multi-robot search of unknown areas.” Journal of Intelligent and Robotic Systems 53.4 (2008): 381-397.
- Anderson, Monica, et al. “Affecting attitudes in first-year computer science using syntax-free robotics programming.” ACM Inroads 2.3 (2011): 51-57.
- Dawson, Shameka, et al. “Affecting operator trust in intelligent multi-robot surveillance systems.” IEEE International Conference on Robotics and Automation (ICRA), 2015.
Muyinatu A. Lediju Bell
Assistant Professor of Electrical and Computer Engineering, Biomedical Engineering, and Computer Science, Johns Hopkins University
Prof. Bell founded and directs the Photoacoustic and Ultrasonic Systems Engineering (PULSE) Lab. Her lab introduced the concept of teleoperative photoacoustic-guided surgery using the da Vinci surgical system, the first study of its kind combining photoacoustic imaging and minimally invasive robotic surgeries to improve accuracy. She pioneers work in medical imaging technology, robot-assisted imaging, and machine learning for image formation.
- Bell, Muyinatu A. Lediju, et al. “Toward standardized acoustic radiation force (ARF)-based ultrasound elasticity measurements with robotic force control.” IEEE Transactions on Biomedical Engineering 63.7 (2016): 1517-1524.
- Gandhi, Neeraj, et al. “Photoacoustic-based approach to surgical guidance performed with and without a da Vinci robot.” Journal of Biomedical Optics 22.12 (2017): 121606.
- Bell, Muyinatu A. Lediju, and Joshua Shubert. “Photoacoustic-based visual servoing of a needle tip.” Scientific Reports 8.15519 (2018): 1-12.
Professor of Electrical and Computer Engineering, Rose-Hulman Institute of Technology
Prof. Berry helped found and co-directs both the Rose Building Undergraduate Diversity (ROSE-BUD) program and the multidisciplinary robotics program. Her research focuses on educational mobile robotics, enhanced human-robot interfaces, and recruitment and retention activities for underrepresented populations in electrical and computer engineering.
- Berry, C.A., Remy, S.L. and Rogers, T.E., “Robotics for All Ages: A Standard Robotics Curriculum for K-16,” IEEE Robotics & Automation Magazine, Institute of Electrical and Electronic Engineers, Vol. 23 (2), 40-46, June 2016
- Berry, C.A., Mobile Robotics for Multidisciplinary Study: Synthesis Lectures on Control and Mechatronics, Morgan and Claypool, 2012
- Berry, C.A., “Mobile Robotics: A tool for application-based integration of multidisciplinary undergraduate concepts and research”, Computers in Education Journal, Vol. 1, No. 3., pp. 102-111, 2010.
Jeremy D. Brown
John C. Malone Assistant Professor of Mechanical Engineering, Johns Hopkins University
Prof. Brown runs the Haptics and Medical Robotics (HAMR) lab and his research sits at the intersection of engineering, biomechatronics, medicine, and psychophysics. He develops novel haptic interfaces for upper-limb prosthetics and minimally invasive surgical robotics.
- Brown, Jeremy D., et al. “Co-location of force and action improves identification of force-displacement features.” 2012 IEEE Haptics Symposium (HAPTICS). IEEE, 2012.
- Brown, Jeremy D., et al. “Using contact forces and robot arm accelerations to automatically rate surgeon skill at peg transfer.” IEEE Transactions on Biomedical Engineering 64.9 (2016): 2263-2275.
- Thomas, Neha, et al. “Comparison of vibrotactile and joint-torque feedback in a myoelectric upper-limb prosthesis.” Journal of Neuroengineering and Rehabilitation 16.1 (2019): 1-18.
Edward E. Brown Jr.
Associate Professor of Electrical and Microelectronic Engineering, Rochester Institute of Technology
Prof. Brown runs the Biomechatronic Learning Laboratory where he studies rehabilitation robotics. He focuses on developing intelligent orthotics and wearable robotic systems that use human physical and physiological information to aid individuals with diseases and disabilities that affect the skeletal musculature of their upper-limb extremities.
- Gebregiorgis, Adey L., and Edward E. Brown. “Using Hidden Markov Models to track upper extremity arm motions for surface electromyographic based robot teleoperation.” 5th ISSNIP-IEEE Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC). IEEE, 2014.
- Smith, Alan, and Edward E. Brown. “Myoelectric control techniques for a rehabilitation robot.” Applied Bionics and Biomechanics 8.1 (2011): 21-37
- Nanda, Pooja, Alan Smith, Adey Gebregiorgis, and Edward E. Brown. “Design and development of an upper extremity motion capture system for a rehabilitation robot” 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009.
Emmanuel G. Collins
Dean of the J. B. Speed School of Engineering, University of Louisville
Dean Collins’s research interests are in control and guidance of autonomous vehicles and electric powered wheelchairs in extreme environments and situations, coordination of teams of heterogeneous agents (including human-robot teams), flow control, and applications of modern control approaches to energy management.
- N. Gupta, C. Ordonez, E. G. Collins, Jr., “Dynamically Feasible, Energy Efficient Motion Planning for Skid-Steered Vehicles,” Autonomous Robots, Vol. 41, Issue 2, Feb. 2017, pp. 453–471.
- O. Chuy, E. G. Collins, Jr., A. Sharma, and R. Kopinsky, “Using Dynamics to Consider Torque Constraints in Manipulators Planning with Heavy Loads,” ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 139, Issue 5, November 2016.
- B. Reese and E. G. Collins, Jr., “A Graph Search and Neural Network Approach to Adaptive Nonlinear Model Predictive Control,” Engineering Applications of Artificial Intelligence, Vol. 55, 2016, pp. 250-268.
Chris S. Crawford
Assistant Professor of Computer Science, University of Alabama
Prof. Crawford directs the Human-Technology Interaction Lab. His work focuses on Brain-Computer Interfaces (BCI) and Human-Robot Interaction (HRI).
- Andujar, Marvin, et al. “Artistic brain-computer interfaces: the expression and stimulation of the user’s affective state.” Brain-computer interfaces 2.2-3 (2015): 60-69.
- Crawford, Chris S., et al. “User experience evaluation towards cooperative brain-robot interaction.” International Conference on Human-Computer Interaction. Springer, Cham, 2015.
- Crawford, Chris S., and Juan E. Gilbert. “Brains and Blocks: Introducing Novice Programmers to Brain-Computer Interface Application Development.” ACM Transactions on Computing Education (TOCE) 19, no. 4 (2019): 1-27.
Assistant Professor, Smith College
Prof. Dorsey leads the MicroSmithie lab. Kristen Dorsey’s research focuses on the fabrication and characterization of micro-scale sensors and microelectromechanical systems (MEMS). She likes to understand “why things go wrong” by investigating device reliability and stability. Her current and previous work has had applications in actuation, gas chemical sensing, and inertial sensing.
- K.L. Dorsey, “Reconfigurable Soft Capacitor with Variable Stiffness Ring,” IEEE Robosoft Conference, Seoul, South Korea, 2019.
- K.L. Dorsey, M. Cao, G.A. Slipher, and N. Lazarus, “Mechanical Isolation and Temperature Compensation in Soft Elastomer Components,” in IEEE J. Sensors, vol. 18, no. 18, pp. 7505-7512, 15 Sept., 2018.
- K.L. Dorsey, M. Cao, and N. Lazarus, “Mechanical Isolation Structures for Soft Elastomer Components,” IEEE Sensors Conf., Glasgow, UK, 2017.
Assistant Professor of Computer Science, University of Albany
Prof. Ekenna directs the Robotics Algorithm and Computable Systems (RACS) Laboratory, which focuses on the development of intelligent systems, motion planning in complex spaces, heterogeneity analysis of the workspace, metabolic pathways, and protein folding.
- Ekenna, Chinwe, et al. “Adaptive neighbor connection for PRMs: A natural fit for heterogeneous environments and parallelism.” 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2013.
- Aakriti, Upadhyay, Wang Weifu, and Ekenna Chinwe. “Approximating Cfree Space Topology by Constructing Vietoris-Rips Complex.” Proceedings of the International Conference on Intelligent Robots and Systems. 2019.
- Tran, Tuan, and Chinwe Ekenna. “Metabolic pathway and graph identification of new potential drug targets for Plasmodium Falciparum.” 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2017.
Professor of Electrical & Computer Engineering, Johns Hopkins University
Prof. Etienne-Cummings leads the Computational Sensory-Motor Systems Lab which has recently focused on research into brain-machine interfaces and neural prosthesis devices. Other areas of research he has contributed to include neurally inspired control for legged robots, development of neural prosthetic devices, and image and video analysis.
- Tenore, Francesco, et al. “Towards the control of individual fingers of a prosthetic hand using surface EMG signals.” 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007.
- Lewis, M. Anthony, Francesco Tenore, and Ralph Etienne-Cummings. “CPG design using inhibitory networks.” Proceedings of the 2005 IEEE international conference on robotics and automation. IEEE, 2005.
- Dong, Fengchun, et al. “Plenoptic cameras in real-time robotics.” The International Journal of Robotics Research 32.2 (2013): 206-217.
Stephen J. Guy
Associate Professor of Computer Science and Engineering, University of Minnesota
Prof. Guy directs the Applied Motion Lab. His research focuses on the development of artificial intelligence for use in autonomous robotics (e.g., collision avoidance and path planning under uncertainty) and computer simulations of human movement and behavior (e.g., crowd simulation and virtual characters).
- Van Den Berg, Jur, Stephen J. Guy, Ming Lin, Dinesh Manocha. “Reciprocal n-Body Collision Avoidance.” International Symposium on Robotics research (ISRR), 2011.
- Karamouzas, Ioannis, Brian Skinner, and Stephen J. Guy. “Universal power law governing pedestrian interactions.” Physical review letters. 2014.
- Davis, Bobby, Ioannis Karamouzas, and Stephen J. Guy. “C-opt: Coverage-aware trajectory optimization under uncertainty.” IEEE Robotics and Automation Letters. 2016.
Frank L. Hammond
Assistant Professor of Mechanical Engineering, Georgia Tech
Prof. Hammond directs the The Adaptive Robotic Manipulation (ARM) Laboratory. His research focuses on a variety of topics in robotic manipulation, including underactuated robotic grasping, kinematically redundant manipulation, teleoperative robotic surgery surgical training, and wearable human augmentation devices.
- Hammond, Frank L., Yiğit Mengüç, and Robert J. Wood. “Toward a modular soft sensor-embedded glove for human hand motion and tactile pressure measurement.” 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2014.
- Tiziani, Lucas O., Thomas W. Cahoon, and Frank L. Hammond. “Sensorized pneumatic muscle for force and stiffness control.” 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017.
- Tiziani, Lucas, et al. “Empirical characterization of modular variable stiffness inflatable structures for supernumerary grasp-assist devices.” The International Journal of Robotics Research 36.13-14 (2017): 1391-1413.
Maynard Holliday, MSc
Senior Engineer, RAND Corporation
Mr. Holliday is a Senior Engineer in the Engineering and Applied Sciences Group within the Global Research Talent Organization at RAND Coporation. His current research interests are in autonomous vehicles, swarm robotics, artificial intelligence, machine learning, counter drone technology and defense innovation. Mr. Holliday served as a senior technical advisor to the Under Secretary of Defense during the Obama Administration, led research at Lawrence Livermore National Labs and Sandia National Labs, and has participated in several robotics startups. He has a passion for outreach and bringing robotics and AI to underrepresented groups, and currently serves as an Industry Co-Lead for Black in Robotics.
- Holliday, Maynard, and Chris Holden. “Advanced Web-Based Temporal Analytics for Arms Control Verification and Compliance.” AAAS Science & Diplomacy, September 2014.
- Waltzman, Rand, Lillian Ablon, Christian Curriden, Gavin S. Hartnett, Maynard A. Holliday, Logan Ma, Brian Nichiporuk, Andrew Scobell, and Danielle C. Tarraf. “Maintaining the Competitive Advantage in Artificial Intelligence and Machine Learning.” Santa Monica, CA: RAND Corporation, 2020.
- Best, Katharina Ley, Jon Schmid, Shane Tierney, Jalal Awan, Nahom M. Beyene, Maynard A. Holliday, Raza Khan, and Karen Lee. “How to Analyze the Cyber Threat from Drones: Background, Analysis Frameworks, and Analysis Tools.” Homeland Security Operational Analysis Center operated by the RAND Corporation, 2020.
Linda J. and Mark C. Smith Professor and Chair of the School of Interactive Computing, Georgia Institute of Technology
Prof. Howard leads the Human-Automation Systems Lab, and her research is centered around applying human-inspired techniques to intelligent systems. She has also done significant work in improving robotics education for students of all ages: from childhood all the way to graduate-level education.
- M. Schrum, C. H. Park and A. Howard, “Humanoid Therapy Robot for Encouraging Exercise in Dementia Patients,” ACM/IEEE International Conference on Human-Robot Interaction (HRI), Daegu, Korea (South), pp. 564-565, 2019.
- J. Borenstein, A. R. Wagner and A. Howard, “Overtrust of Pediatric Health-Care Robots: A Preliminary Survey of Parent Perspectives,” in IEEE Robotics & Automation Magazine, vol. 25, no. 1, pp. 46-54, March 2018.
- A. Howard and J. Borenstein. “The ugly truth about ourselves and our robot creations: the problem of bias and social inequity.” Science and Engineering Ethics, vol. 24, no. 5, pp. 1521-1536, 2018.
Dean of the College of Computing, Georgia Institute of Technology
Dean Isbell leads the pfunk research group within the Lab for Interactive Artificial Intelligence. Dean Isbell’s research focuses on designing systems that are capable of interacting with one another and with humans in reasonable ways using techniques such as machine learning and game theory.
- Bansal, Shray, et al. “A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play.” Robotics: Science and Systems (2020).
- Sawhney, Rahul, et al. “Purely Geometric Scene Association and Retrieval - A case for macro-scale 3D geometry.” International Conference on Robotics and Automation(2018).
- Holmes, Michael P. and Isbell, Charles. “Looping suffix tree-based inference of partially observable hidden state.” International Conference on Machine Learning (2006): 409-416.
Assistant Professor of Mechanical Engineering, Temple University
Prof. Jacobs leads the Robotics in Interdisciplinary Science and Engineering (RISE) Lab. His primary research focus is in wearable robotics and augmenting human gait performance.
- Taborri J, Agostini V, Artemiadis PK, et al. “Feasibility of Muscle Synergy Outcomes in Clinics, Robotics, and Sports: A Systematic Review”. Appl Bionics and Biomechanics, 2018.
- Jacobs, D.A., Ferris, D.P. “Estimation of ground reaction forces and ankle moment with multiple, low-cost sensors”. Journal of NeuroEngineering and Rehabilitation, vol. 12, 2015.
- Koller, J.R., Jacobs, D.A., Ferris, D.P. et al. “Learning to walk with an adaptive gain proportional myoelectric controller for a robotic ankle exoskeleton”. Journal of NeuroEngineering and Rehabilitation, vol. 12, 2015.
Odest Chadwicke Jenkins
Professor of Computer Science and Engineering, University of Michigan
Prof. Jenkins leads the Laboratory for Progress and is Associate Director for the Michigan Robotics Institute. His research addresses problems in interactive robotics and human-robot interaction, primarily focused on mobile manipulation, robot perception, and robot learning from demonstration. Prof. Jenkins does not believe celebrity lists alone will lead to systemic fairness in robotics and its merit review and support of Black roboticists at all levels.
- Fod, Ajo, Maja J. Matarić, and Odest Chadwicke Jenkins. “Automated derivation of primitives for movement classification.” Autonomous robots 12.1 (2002): 39-54.
- Crick, Christopher, et al. “Rosbridge: ROS for non-ROS users.” Robotics Research. Springer, Cham, 2017. 493-504. Open source: Robot Web Tools
- Sui, Zhiqiang, et al. “SUM: Sequential scene understanding and manipulation.” 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2017.
Associate Professor of Physical Medicine and Rehabilitation and Associate Professor of Bioengineering, University of Pennsylvania
Prof. Johnson directs the Rehabilitation Robotics Lab, a GRASP Lab. Her research is mainly in the area of robot-mediated rehabilitation, in particular exploring the relationships between brain plasticity and behavioral/motor control changes after robot-assisted interventions, quantifying motor impairment and motor control of the upper limb in real world tasks such as drinking, and defining the methods to maintain therapeutic effectiveness while administering local and remote, robot-mediated interventions.
- Loureiro, R.C.V., Harwin, W.S., Nagai, K., Johnson, M.J. “Advances in upper limb stroke rehabilitation: a technology push. Medical & Biological Engineering & Computing, vol. 49, no. 10, pp. 1103-1118, 2011.
- Fitter, N.T., Mohan, M., Kuchenbecker, K.J., Johnson M.J. “Exercising with Baxter: Preliminary Support for Assistive Social-Physical Human-Robot Interaction”. Journal of NeuroEngineering and Rehabilitation, vol. 17, no. 19, 2020.
- Johnson, M.J., Rai, R., Barathi, S., Mendonca, R., & Bustamante-Valles, K. “Affordable stroke therapy in high-, low- and middle-income countries: From Theradrive to Rehab CARES, a compact robot gym.” Journal of Rehabilitation and Assistive Technologies Engineering, vol. 4, pp. 1-12, 2017.
Prof. Johnson-Roberson leads the DROP (Deep Robot Optical Perception) Laboratory and co-directs the UM Ford Center for Autonomous Vehicles (FCAV). Prof. Johnson-Roberson’s group is focused on 3D reconstruction, segmentation, data mining, and visualization.
- Junming, Zhang, et al. “LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery.” International Conference on Robotics and Automation (2020).
- Yu, Ming-Yuan, et al. “Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments.” IEEE Robotics and Automation Letters 4.2 (2019): 2235-2241.
- Ramanagopal, Manikandasriram Srinivasan, et al. “Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars.” IEEE Robotics and Automation Letters 3.4 (2018): 3860-3867.
Monroe Kennedy III
Assistant Professor of Mechanical Engineering, Stanford University
Prof. Kennedy leads the Assistive Robotics and Manipulation Lab at Stanford University where he develops intelligent robotic systems that can assist humans in tasks by improving the robots capability of perceiving and modeling environments to predict system processes and understand their assistive role.
- Kennedy, Monroe, et al. “Precise dispensing of liquids using visual feedback.” 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2017.
- Kennedy, Monroe, et al. “Autonomous precision pouring from unknown containers.” IEEE Robotics and Automation Letters 4.3 (2019): 2317-2324.
- Kennedy, Monroe, et al. “Optimal paths for polygonal robots in SE (2).” Journal of Mechanisms and Robotics 10.2 (2018).
Senior Hardware Engineer, Google
Dr. McLurkin is a pioneer in swarm robotics and has developed multiple large (100+) multi-robot systems. His research interests include multi-robot estimation, formation control, distributed algorithms, and computational geometry. Dr. McLurkin was faculty at Rice University before joining Google in 2015.
- McLurkin, James Dwight. Stupid robot tricks: A behavior-based distributed algorithm library for programming swarms of robots. S.M. (Master’s) Thesis. Massachusetts Institute of Technology, 2004.
- Habibi, Golnaz, Zachary Kingston, William Xie, Mathew Jellins, and James McLurkin. “Distributed centroid estimation and motion controllers for collective transport by multi-robot systems.” IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2015.
- Lee, Seoung Kyou, Sándor P. Fekete, and James McLurkin. “Structured triangulation in multi-robot systems: Coverage, patrolling, voronoi partitions, and geodesic centers.” The International Journal of Robotics Research 35.10, 2016, pp. 1234-1260.
Professor of Computer Science & Associate Professor of Biology, The University of New Mexico
Prof. Moses leads the Moses Biological Computation Lab which seeks to create models of biological systems and apply the insights gained from those systems to swarm robotics. Additionally, Prof. Moses is the PI for two programs seeking to diversify computer science: NM CSforAll and NASA Swarmathon.
- Lu, Q., Fricke, G.M., & Moses, M.E. “Comparing Physical and Simulated Performance of a Deterministic and a Bio-inspired Stochastic Foraging Strategy for Robot Swarms.” IEEE International Conference on Robotics and Automation (ICRA), 2019.
- Ericksen, John, et al. “Automatically evolving a general controller for robot swarms.” IEEE Symposium Series on Computational Intelligence (SSCI), 2017.
- Lu, Q., Hecker, J. P., & Moses, M. E. “The MPFA: A multiple-place foraging algorithm for biologically-inspired robot swarms.” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016.
Assistant Professor of Computer and Information Sciences, Spelman College
Prof. Nias is a researcher in computational social science in the Course-Based Undergraduate Research Experiences (CURE) Program. Her current research focus is on developing educational computational technologies to promote cultural diversity and societal inclusion. She has also conducted research in human computer interaction, with a focus on child-computer interactions and mobile computing.
- Jaye Nias, Margie Ruffin. “CultureBot: A Culturally Relevant Humanoid Robot Dialogue Agent.” Proceedings of the 2020 ACM Southeast Conference: 280-283.
- Lisa Anthony, Quincy Brown, Jaye Nias, Berthel Tate.”Children (and Adults) Benefit From Visual Feedback during Gesture Interaction on Mobile Touchscreen Devices.” International Journal of Child-Computer Interaction Vol 6 (2015): 17-27.
- Robert Cummings, Sonya Dennis, Naja Mack, Jaye Nias, Kinnis Gosha. “Developing a Question Corpus for a Conversational Agent Designed to Prepare Interested Black Undergraduates for the Professoriate in STEM.” 2019 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT): 1-5.
Associate Professor of Mechanical Engineering, University of Michigan
Prof. Okwudire directs the Smart and Sustainable Automation Research Lab. His research expertise is in machine design, dynamics, control, and mechatronics applied to smart manufacturing and 3D printing automation.
- Duan, Molong, Deokkyun Yoon, and Chinedum E. Okwudire. “A limited-preview filtered B-spline approach to tracking control–With application to vibration-induced error compensation of a 3D printer.” Mechatronics 56 (2018): 287-296.
- Okwudire, C. E., Xiang Lu, Giridharan Kumaravelu, and Harsha Madhyastha. “A three-tier redundant architecture for safe and reliable cloud-based CNC over public internet networks.” Robotics and Computer-Integrated Manufacturing 62 (2020): 101880.
- Duan, Molong, and Chinedum E. Okwudire. “Proxy-based optimal control allocation for dual-input over-actuated systems.” IEEE/ASME Transactions on Mechatronics 23, no. 2 (2018): 895-905.
Tahira Reid Smith
Associate Professor of Mechanical Engineering, Purdue University
Prof. Reid Smith leads the Research in Engineering and Interdisciplinary Design (REID) Lab at Purdue University. She studies how to integrate human-centered design into human-machine systems.
- Akash, Kumar, et al. “Human Trust-based Feedback Control: Dynamically varying automation transparency to optimize human-machine interactions.” arXiv preprint arXiv:2006.16353 (2020).
- Hu, Wan-Lin, et al. “Real-time sensing of trust in human-machine interactions.” IFAC-PapersOnLine 49.32 (2016): 48-53
- Reid, Tahira N., Richard D. Gonzalez, and Panos Y. Papalambros. “Quantification of perceived environmental friendliness for vehicle silhouette design.” Journal of mechanical design 132.10 (2010).
Lionel P. Robert Jr.
Associate Professor of Information, University of Michigan
Prof. Robert is an Army vet and the director of the Michigan Autonomous Vehicle Research Intergroup Collaboration. In his own words he focuses on “collaboration through and with technology”, studying trust and teamwork in human-human and human-machine teams, including robots and autonomous vehicles.
- You, S. and Robert, L. P. (2018). “Human-Robot Similarity and Willingness to Work with a Robotic Co-Worker.”, Proceedings of the 13th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI 2018)
- Robert, Lionel, et al. “A Review of Personality in Human‒Robot Interactions.” in Foundations & Trends in Information Systems. (2020).
- Jayaraman, S. K., Creech, C., Robert Jr, L. P., Tilbury, D. M., Yang, X. J., Pradhan, A. K., & Tsui, K. M. “Trust in AV: An uncertainty reduction model of AV-pedestrian interactions.” Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. 2018.
Camillo Jose Taylor
Raymond S. Markowitz President's Distinguished Professor of Computer and Information Science, University of Pennsylvania
Prof. Taylor is the Associate Dean of Diversity Equity and Inclusion in the School of Engineering and Applied Science and is a leader in the field of computer vision with specific interest in 3D model reconstruction, robot navigation and scene understanding.
- Das, A.K., et al. “A vision-based formation control framework.” IEEE Transactions on Robotics 18.5 (2002): 813-825.
- Taylor, Camillo J. “Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image.” Computer Vision and Image Understanding 80.3 (2000): 349-363.
- Shariati, Armon, et al. “Simultaneous Localization and Layout Model Selection in Manhattan Worlds.” IEEE Robotics and Automation Letters 4.2 (2019): 950-957.
Arthur Hamerschlag Career Development Professor of Mechanical Engineering, Carnegie Mellon University
Prof. Tucker leads the Artificial Intelligence in Products Engineered for X (AiPEX) Lab. He explores the use of machine learning methods that predictively improve the outcome of product design solutions through the acquisition, fusion, and mining of large-scale, publicly-available data.
- Panchal, Jitesh H., et al. “Machine Learning for Engineering Design.” Journal of Mechanical Design 141.11 (2019).
- Cunningham, James D., et al. “Deep Reinforcement Learning for Transfer of Control Policies.” International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Vol. 59186. American Society of Mechanical Engineers, 2019.
- Cunningham, James D., Timothy W. Simpson, and Conrad S. Tucker. “An investigation of surrogate models for efficient performance-based decoding of 3D point clouds.” Journal of Mechanical Design 141.12 (2019).
Associate Director and Group Leader, Raytheon Technologies Research Center
Dr. Tunstel is an associate director of robotics in the Autonomous and Intelligent Systems Department at Raytheon Technologies Research Center, prior to which he was a Senior Roboticist at Johns Hopkins APL, and a Senior Robotics Engineer at NASA JPL before that. His expertise is in robot navigation, approximate reasoning for autonomous behavior-based control, human-robot systems, and applications of soft computing techniques to intelligent systems.
- Tunstel, E. “Fuzzy-Behavior Synthesis, Coordination, and Evolution in an Adaptive Behavior Hierarchy,” in Saffiotti, A. and Driankov, D. (Eds.) Fuzzy Logic Techniques for Autonomous Vehicle Navigation, Studies in Fuzziness and Soft Computing Series, Vol. 61, Physica-Verlag, Heidelberg; New York, 2001.
- Tunstel, E., “Operational Performance Metrics for Mars Exploration Rovers,” Journal of Field Robotics, Vol. 24, Issue 8-9, 2007, pp. 651-670.
- Rizk, Y., Awad, M. and Tunstel, E., “Decision Making in Multi Agent Systems: A Survey,” IEEE Transactions on Cognitive and Developmental Systems, Vol. 10, Issue 3, Sep. 2018, pp. 514-529.
Adjunct Associate Professor of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville
Prof. Wade develops innovative technologies to help with rehabilitation for people with disabilities, for example by sensing and quantifying recovery through activity recognition. At UT, he leads the Behavior, Robotics, and Sensing Group, which combines machine learning and control with robotics and human sensing.
- Wade, Eric, and Carolee J. Winstein. “Virtual reality and robotics for stroke rehabilitation: where do we go from here?.” Topics in stroke rehabilitation 18.6 (2011): 685-700.
- Jananii Vaz, Christabel, and Eric Wade. “Design of a low-cost social robot for children with complex communication needs.” Journal of Medical Devices 10.3 (2016).
- Totty, Michael S., and Eric Wade. “Muscle activation and inertial motion data for noninvasive classification of activities of daily living.” IEEE Transactions on Biomedical Engineering 65.5 (2017): 1069-1076.
Prof. Williams directs the Humanoid Engineering & Intelligent Robotics (HEIR) Lab. His research aims to develop the theory and engineering principles for humanoid robots to cooperate intuitively and creatively with humans and other robots using principles from developmental artificial intelligence. An interview with Prof. Williams is included in the History Makers collection.
- Williams, Andrew B. “Learning to share meaning in a multi-agent system.” Autonomous Agents and Multi-Agent Systems 8.2 (2004): 165-193.
- Williams, Andrew B., et al. “Aida: a social co-robot to uplift workers with intellectual and developmental disabilities.” 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2019.
- Thomas, George, and Andrew B. Williams. “Sequential auctions for heterogeneous task allocation in multiagent routing domains.” 2009 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2009.
Assistant Professor of Mechanical Engineering, Vanderbilt University
Prof. Zelik leads the Biomechanics & Assistive Technology Laboratory and co-founded HeroWear, an exosuit spin-off company from his lab. He strives to improve health and mobility for individuals with disabilities, and to enhance human capabilities by engineering and understanding technologies such as prostheses, exoskeletons, smart clothing and wearables that physically augment human performance and well-being.
- Lamers, Erik P., Aaron J. Yang, and Karl E. Zelik. “Feasibility of a biomechanically-assistive garment to reduce low back loading during leaning and lifting.” IEEE Transactions on Biomedical Engineering 65.8 (2017): 1674-1680.
- Yandell, Matthew B., et al. “Physical interface dynamics alter how robotic exosuits augment human movement: implications for optimizing wearable assistive devices.” Journal of neuroengineering and rehabilitation 14.1 (2017): 40.
- Zelik, Karl E., and Eric C. Honert. “Ankle and foot power in gait analysis: Implications for science, technology and clinical assessment.” Journal of biomechanics 75 (2018): 1-12.
This list is maintained by Prof. Aaron M. Johnson, Prof. Henny Admoni, and our students. Updates, additions, and corrections welcome via pull request or email. Sourcecode available on GitHub.
This work is licensed under a Creative Commons Attribution 4.0 International License.