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20162026
most citedPlanning and Execution of Dynamic Whole-Body Locomotion for a Hydraulic Quadruped on Challenging Terrain

93 citations · 95 across the 5 of their papers we have counts for

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19 papers · 1 filter

cs.RO2026

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…

cs.RO2025

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2023

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…

cs.RO2023

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…