15 citations · 38 across the 8 of their papers we have counts for
3 papers · 1 filter
Non-Gaited Legged Locomotion with Monte-Carlo Tree Search and Supervised Learning
Ilyass Taouil, Lorenzo Amatucci, Majid Khadiv +4
Legged robots are able to navigate complex terrains by continuously interacting with the environment through careful selection of contact sequences and timings. However, the combin…
Accelerating Model Predictive Control for Legged Robots through Distributed Optimization
Lorenzo Amatucci, Giulio Turrisi, Angelo Bratta +2
This paper presents a novel approach to enhance Model Predictive Control (MPC) for legged robots through Distributed Optimization. Our method focuses on decomposing the robot dynam…
On the Benefits of GPU Sample-Based Stochastic Predictive Controllers for Legged Locomotion
Giulio Turrisi, Valerio Modugno, Lorenzo Amatucci +2
Quadrupedal robots excel in mobility, navigating complex terrains with agility. However, their complex control systems present challenges that are still far from being fully addres…