Schedule Fall - 2024

Paper

Song, Pinhao, et al. "Robot Trajectron: Trajectory Prediction-based Shared Control for Robot Manipulation." arXiv preprint arXiv:2402.02499 (2024).

Ryu, Kanghyun, and Negar Mehr. "Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds." arXiv preprint arXiv:2403.05081 (2024).

Mukadam, Mustafa, et al. "Continuous-time Gaussian process motion planning via probabilistic inference." The International Journal of Robotics Research 37.11 (2018): 1319-1340.

Break!

Bayram, Erkan, et al. "Control Theoretic Approach to Fine-Tuning and Transfer Learning." arXiv preprint arXiv:2404.11013 (2024).

Wang, Han, Leonardo Felipe Toso, and James Anderson. "Fedsysid: A federated approach to sample-efficient system identification." Learning for Dynamics and Control Conference. PMLR, 2023.

Break!

Recht, Benjamin. "A tour of reinforcement learning: The view from continuous control." Annual Review of Control, Robotics, and Autonomous Systems 2.1 (2019): 253-279.

Char, Ian, and Jeff Schneider. "PID-inspired inductive biases for deep reinforcement learning in partially observable control tasks." Advances in Neural Information Processing Systems 36 (2024).

Schwarting, Wilko, et al. "Stochastic dynamic games in belief space." IEEE Transactions on Robotics 37.6 (2021): 2157-2172.

Break!

Antonelo, Eric Aislan, et al. "Physics-informed neural nets for control of dynamical systems." Neurocomputing 579 (2024): 127419.

O’Connell, Michael, et al. "Neural-fly enables rapid learning for agile flight in strong winds." Science Robotics 7.66 (2022): eabm6597.