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cs.RO2026
Shield-Loco: Shielding Locomotion Policies with Predictive Safety Filtering
Aditya Shirwatkar, Sebastian Sanokowski, Shishir Kolathaya +2
Reinforcement learning (RL) policies enable dynamic legged locomotion but lack mechanisms to avoid violations of safety constraints that are absent during training. Large-scale off…
cs.RO2026
VIP-Loco: A Visually Guided Infinite Horizon Planning Framework for Legged Locomotion
Aditya Shirwatkar, Satyam Gupta, Shishir Kolathaya
Perceptive locomotion for legged robots requires anticipating and adapting to complex, dynamic environments. Model Predictive Control (MPC) serves as a strong baseline, providing i…
cs.RO2026
Data-Driven Physics Embedded Dynamics with Predictive Control and Reinforcement Learning for Quadrupeds
Prakrut Kotecha, Aditya Shirwatkar, Shishir Kolathaya
State of the art quadrupedal locomotion approaches integrate Model Predictive Control (MPC) with Reinforcement Learning (RL), enabling complex motion capabilities with planning and…