35 citations · 95 across the 51 of their papers we have counts for
61 papers
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…
Energy-Efficient Quadruped Locomotion with Compliant Feet
Pramod Pal, Shishir Kolathaya, Ashitava Ghosal
Quadruped robots are often designed with rigid feet to simplify control and maintain stable contact during locomotion. While this approach is straightforward, it limits the ability…
DTEA: A Dual-Topology Elastic Actuator Enabling Real-Time Switching Between Series and Parallel Compliance
Vishal Ramesh, Aman Singh, Shishir Kolathaya
Series and parallel elastic actuators offer complementary but mutually exclusive advantages, yet no existing actuator enables real-time transition between these topologies during o…
A Co-Design Framework for High-Performance Jumping of a Five-Bar Monoped with Actuator Optimization
Aastha Mishra, Aman Singh, Shishir Kolathaya
The performance of legged robots depends strongly on both mechanical design and control, motivating co-design approaches that jointly optimize these parameters. However, most exist…
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…
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…