| Trajectory planning with deep reinforcement learning in high-level action spaces KR Williams, R Schlossman, D Whitten, J Ingram, S Musuvathy, J Pagan, ... IEEE Transactions on Aerospace and Electronic Systems, 2022 | 11 | 2022 |
| Solving service robot tasks: UT Austin Villa@ Home 2019 team report R Shah, Y Jiang, H Karnan, G Briscoe-Martinez, D Mulder, R Gupta, ... arXiv preprint arXiv:1909.06529, 2019 | 10 | 2019 |
| Toward achieving formal guarantees for human-aware controllers in human-robot interactions R Schlossman, M Kim, U Topcu, L Sentis 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 8 | 2019 |
| Exploiting the natural dynamics of series elastic robots by actuator-centered sequential linear programming R Schlossman, GC Thomas, O Campbell, L Sentis 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1405 …, 2018 | 7 | 2018 |
| Open-source, object-oriented, multi-phase pseudospectral optimization using pyomo R Schlossman, K Williams, D Kozlowski, JJ Parish AIAA Scitech 2021 Forum, 1951, 2021 | 3 | 2021 |
| Autonomous Multi-Platform Sensor Scheduling for Intelligence Surveillance and Reconnaissance. J Richards, A Patel, A Thorpe, R Schlossman Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | 2 | 2019 |
| Decentralized control systems laboratory using human centered robotic actuators B He, K Chen, R Schlossman, N Ormsbee, M Altman, N Young, ... arXiv preprint arXiv:1803.11119, 2018 | 1 | 2018 |
| Decentralized Actuator Control Laboratory: Educational Deployment and Analysis of Its Learning Effectiveness K Chen, R Mahalingam, N Ormsbee, R Schlossman, L Sentis IEEE Transactions on Education, 2023 | | 2023 |
| Applications of Autonomous Sensor Task Planner for Intelligence, Surveillance and Reconnaissance. S Johnson, K Cespedes, R Schlossman, J Richards Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| CUDA for Rapid Controller Robustness Evaluation: A Tutorial M Gandhi, R Schlossman, KA Williams, R Melzer, J Parish 2021 60th IEEE Conference on Decision and Control (CDC), 4861-4867, 2021 | | 2021 |
| Dakota and Pyomo for Closed and Open Box Controller Gain Tuning KR Williams, JJ Wilbanks, R Schlossman, D Kozlowski, J Parish 2021 60th IEEE Conference on Decision and Control (CDC), 4854-4860, 2021 | | 2021 |
| CUDA for Rapid Controller Robustness Evaluation: A Tutorial (PDF Slides). R Schlossman, K Williams, M Gandhi, J Parish, R Melzer Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
| CUDA for Rapid Controller Robustness Evaluation: A Tutorial. RD Melzer, M Gandhi, R Schlossman, KA Williams, JMJ Parish Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
| Pyomo Optimization Example Problems v. 1.0 R Schlossman, K Williams Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Dynamically consistent trajectory planners and human-aware controllers for human-centered robots RM Schlossman | | 2019 |
