93 citations · 95 across the 5 of their papers we have counts for
19 papers · 1 filter
Bi-Level Optimization for Contact and Motion Planning in Rope-Assisted Legged Robots
Ruben Malacarne, Ioannis Tsikelis, Enrico Mingo Hoffman +1
This paper presents a planning pipeline framework for locomotion in rope-assisted robots climbing vertical surfaces. The proposed framework is formulated as a bi-level optimization…
Guided Reinforcement Learning for Omnidirectional 3D Jumping in Quadruped Robots
Riccardo Bussola, Michele Focchi, Giulio Turrisi +2
Jumping poses a significant challenge for quadruped robots, despite being crucial for many operational scenarios. While optimisation methods exist for controlling such motions, the…
Pseudo-Kinematic Trajectory Control and Planning of Tracked Vehicles
Michele Focchi, Daniele Fontanelli, Davide Stocco +2
Tracked vehicles distribute their weight continuously over a large surface area (the tracks). This distinctive feature makes them the preferred choice for vehicles required to trav…
ALPINE: a climbing robot for operations in mountain environments
Michele Focchi, Andrea Del Prete, Daniele Fontanelli +3
Mountain slopes are perfect examples of harsh environments in which humans are required to perform difficult and dangerous operations such as removing unstable boulders, dangerous…
Efficient Reinforcement Learning for Jumping Monopods
Riccardo Bussola, Michele Focchi, Andrea Del Prete +2
In this work, we consider the complex control problem of making a monopod reach a target with a jump. The monopod can jump in any direction and the terrain underneath its foot can…
Reactive Landing Controller for Quadruped Robots
Francesco Roscia, Michele Focchi, Andrea Del Prete +2
Quadruped robots are machines intended for challenging and harsh environments. Despite the progress in locomotion strategy, safely recovering from unexpected falls or planned drops…