5 citations · 5 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
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…