3 papers
cs.RO2026
PRISM: Performer RS-IMLE for Single-pass Multisensory Imitation Learning
Amisha Bhaskar, Pratap Tokekar, Stefano Di Cairano +1
Robotic imitation learning typically requires models that capture multimodal action distributions while operating at real-time control rates and accommodating multiple sensing moda…
cs.LG2025
GRAM: Generalization in Deep RL with a Robust Adaptation Module
James Queeney, Xiaoyi Cai, Alexander Schperberg +3
The reliable deployment of deep reinforcement learning in real-world settings requires the ability to generalize across a variety of conditions, including both in-distribution scen…
cs.RO2025
Energy-Efficient Motion Planner for Legged Robots
Alexander Schperberg, Marcel Menner, Stefano Di Cairano
We propose an online motion planner for legged robot locomotion with the primary objective of achieving energy efficiency. The conceptual idea is to leverage a placement set of foo…