| Learning when to trust a dynamics model for planning in reduced state spaces D McConachie, T Power, P Mitrano, D Berenson IEEE Robotics and Automation Letters 5 (2), 3540-3547, 2020 | 37 | 2020 |
| Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection T Power, D Berenson Robotics: Science and Systems, 2022 | 21 | 2022 |
| Keep it simple: Data-efficient learning for controlling complex systems with simple models T Power, D Berenson IEEE Robotics and Automation Letters 6 (2), 1184-1191, 2021 | 16 | 2021 |
| MiRo: Social interaction and cognition in an animal-like companion robot TJ Prescott, B Mitchinson, S Conran, T Power, G Bridges Companion of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018 | 7 | 2018 |
| Sampling Constrained Trajectories Using Composable Diffusion Models T Power, R Soltani-Zarrin, S Iba, D Berenson IROS 2023 Workshop on Differentiable Probabilistic Robotics: Emerging …, 2023 | 5 | 2023 |
| Constrained stein variational trajectory optimization T Power, D Berenson arXiv preprint arXiv:2308.12110, 2023 | 4 | 2023 |
| Learning a Generalizable Trajectory Sampling Distribution for Model Predictive Control T Power, D Berenson IEEE Transactions on Robotics, 2024 | 1 | 2024 |
| A personalized, animal-like robot companion to support people with dementia TJ Prescott, B Mitchinson, T Power, G Bridges, D Camilleri, S Conran Alzheimer's & Dementia 14 (7), P210-P210, 2018 | 1 | 2018 |
| Systems and methods for online iterative re-planning J Thomas, RS ZARRIN US Patent App. 18/090,966, 2024 | | 2024 |
| Task-space Kernels for Diverse Stein Variational MPC MS Sharma, T Power, D Berenson IROS 2023 Workshop on Differentiable Probabilistic Robotics: Emerging …, 2023 | | 2023 |
| Improving Sample-based MPC with Normalizing Flows & Out-of-distribution Projection T Power, D Berenson | | |
Dmitry BerensonAssociate Professor, University of MichiganVerified email at umich.edu
