| Hybrid control for combining model-based and model-free reinforcement learning A Pinosky, I Abraham, A Broad, B Argall, TD Murphey The International Journal of Robotics Research, 02783649221083331, 2022 | 27 | 2022 |
| Maximum diffusion reinforcement learning TA Berrueta, A Pinosky, TD Murphey Nature Machine Intelligence, 1-11, 2024 | 8 | 2024 |
| Scale-invariant specifications for human-swarm systems J Meyer, A Prabhakar, A Pinosky, I Abraham, A Taylor, M Schlafly, ... IEEE Transactions on Field Robotics, 2024 | 4 | 2024 |
| Hybrid control for learning motor skills I Abraham, A Broad, A Pinosky, B Argall, TD Murphey Algorithmic Foundations of Robotics XIV: Proceedings of the Fourteenth …, 2021 | 3 | 2021 |
| Embodied Active Learning of Generative Sensor-Object Models A Pinosky, TD Murphey arXiv preprint arXiv:2410.11130, 2024 | 1 | 2024 |
| Scale-Invariant Fast Functional Registration M Sun, A Pinosky, I Abraham, T Murphey The International Symposium of Robotics Research, 153-169, 2022 | 1 | 2022 |
| A Game Benchmark for Real-Time Human-Swarm Control J Meyer, A Pinosky, T Trzpit, E Colgate, TD Murphey 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 1 | 2022 |
| Safe Coverage for Heterogeneous Systems With Limited Connectivity AT Taylor, TA Berrueta, A Pinosky, TD Murphey IEEE Robotics and Automation Letters, 2024 | | 2024 |
| TESS Vibration Testing: A Boundary Condition Case Study A Karlicek, A Pinosky Sensors and Instrumentation, Aircraft/Aerospace and Energy Harvesting …, 2019 | | 2019 |
| Finite Element Modeling, Computer Simulations, and Experiments of Shear Wave Propagation for Tissue Mechanical Property Assessment A Pinosky | | 2015 |
Todd D MurpheyProfessor of Mechanical Engineering, Northwestern UniversityПотвърден имейл адрес: u.northwestern.edu