activity
20142026
most citedMotion Planning for Quadrupedal Locomotion: Coupled Planning, Terrain Mapping and Whole-Body Control

142 citations · 670 across the 26 of their papers we have counts for

collaborators

29 papers

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★ 5 cited

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…

cs.RO2023★ 3 cited

Locosim: an Open-Source Cross-Platform Robotics Framework

Michele Focchi, Francesco Roscia, Claudio Semini

The architecture of a robotics software framework tremendously influences the effort and time it takes for end users to test new concepts in a simulation environment and to control…

cs.RO2022★ 3 cited

ContactNet: Online Multi-Contact Planning for Acyclic Legged Robot Locomotion

Angelo Bratta, Avadesh Meduri, Michele Focchi +2

In legged logomotion, online trajectory optimization techniques generally depend on heuristic-based contact planners in order to have low computation times and achieve high replann…

cs.RO2022★ 1 cited

CLIO: a Novel Robotic Solution for Exploration and Rescue Missions in Hostile Mountain Environments

Michele Focchi, Mohamed Bensaadallah, Marco Frego +4

Rescue missions in mountain environments are hardly achievable by standard legged robots-because of the high slopes-or by flying robots-because of limited payload capacity. We pres…

cs.RO2022★ 20 cited

Orientation Control System: Enhancing Aerial Maneuvers for Quadruped Robots

Francesco Roscia, Andrea Cumerlotti, Andrea Del Prete +2

For legged robots, aerial motions are the only option to overpass obstacles that cannot be circumvent with standard locomotion gaits. In these cases, the robot must perform a leap…

cs.RO2022★ 12 cited

Optimization-Based Reference Generator for Nonlinear Model Predictive Control of Legged Robots

Angelo Bratta, Michele Focchi, Niraj Rathod +1

Model Predictive Control (MPC) approaches are widely used in robotics, since they guarantee feasibility and allow the computation of updated trajectories while the robot is moving.…

cs.RO2022★ 1 cited

WoLF: the Whole-body Locomotion Framework for Quadruped Robots

Gennaro Raiola, Michele Focchi, Enrico Mingo Hoffman

The Whole-Body Locomotion Framework (WoLF) is an end-to-end software suite devoted to the loco-manipulation of quadruped robots. WoLF abstracts the complexity of planning and contr…

cs.RO2022

Foothold Evaluation Criterion for Dynamic Transition Feasibility for Quadruped Robots

Luca Clemente, Octavio Villarreal, Angelo Bratta +4

To traverse complex scenarios reliably a legged robot needs to move its base aided by the ground reaction forces, which can only be generated by the legs that are momentarily in co…

cs.RO2021★ 2 cited

Model Predictive Control with Environment Adaptation for Legged Locomotion

Niraj Rathod, Angelo Bratta, Michele Focchi +4

Re-planning in legged locomotion is crucial to track the desired user velocity while adapting to the terrain and rejecting external disturbances. In this work, we propose and test…

cs.RO2020★ 1 cited

An Efficient Paradigm for Feasibility Guarantees in Legged Locomotion

Abdelrahman Abdallah, Michele Focchi, Romeo Orsolino +1

Developing feasible body trajectories for legged systems on arbitrary terrains is a challenging task. In this paper, we present a paradigm that allows to design feasible Center of…

cs.RO2020★ 142 cited

Motion Planning for Quadrupedal Locomotion: Coupled Planning, Terrain Mapping and Whole-Body Control

Carlos Mastalli, Ioannis Havoutis, Michele Focchi +2

Planning whole-body motions while taking into account the terrain conditions is a challenging problem for legged robots since the terrain model might produce many local minima. Our…

cs.RO2019★ 1 cited

On the Hardware Feasibility of Nonlinear Trajectory Optimization for Legged Locomotion based on a Simplified Dynamics

Angelo Bratta, Romeo Orsolino, Michele Focchi +3

Simplified models are useful to increase the computational efficiency of a motion planning algorithm, but their lack of accuracy have to be managed. We propose two feasibility cons…

cs.RO2019★ 38 cited

Hierarchical Planning of Dynamic Movements without Scheduled Contact Sequences

Carlos Mastalli, Ioannis Havoutis, Michele Focchi +2

Most animal and human locomotion behaviors for solving complex tasks involve dynamic motions and rich contact interaction. In fact, complex maneuvers need to consider dynamic movem…

cs.RO2019★ 123 cited

Simultaneous Contact, Gait and Motion Planning for Robust Multi-Legged Locomotion via Mixed-Integer Convex Optimization

Bernardo Aceituno-Cabezas, Carlos Mastalli, Hongkai Dai +7

Traditional motion planning approaches for multi-legged locomotion divide the problem into several stages, such as contact search and trajectory generation. However, reasoning abou…

cs.RO2019★ 93 cited

Planning and Execution of Dynamic Whole-Body Locomotion for a Hydraulic Quadruped on Challenging Terrain

Alexander W. Winkler, Carlos Mastalli, Ioannis Havoutis +3

We present a framework for dynamic quadrupedal locomotion over challenging terrain, where the choice of appropriate footholds is crucial for the success of the behaviour. We build…

cs.RO2019

STANCE: Locomotion Adaptation over Soft Terrain

Shamel Fahmi, Michele Focchi, Andreea Radulescu +3

Whole-body Control (WBC) has emerged as an important framework in locomotion control for legged robots. However, most of WBC frameworks fail to generalize beyond rigid terrains. Le…

cs.RO2019

Feasible Region: an Actuation-Aware Extension of the Support Region

Romeo Orsolino, Michele Focchi, Stéphane Caron +3

In legged locomotion the projection of the robot Center of Mass (CoM) being inside the convex hull of the contact points is a commonly accepted sufficient condition to achieve stat…

cs.RO2018

Passive Whole-body Control for Quadruped Robots: Experimental Validation over Challenging Terrain

Shamel Fahmi, Carlos Mastalli, Michele Focchi +1

We present experimental results using a passive whole-body control approach for quadruped robots that achieves dynamic locomotion while compliantly balancing the robot's trunk. We…

cs.RO2018★ 73 cited

Fast and Continuous Foothold Adaptation for Dynamic Locomotion through CNNs

Octavio Villarreal, Victor Barasuol, Marco Camurri +5

Legged robots can outperform wheeled machines for most navigation tasks across unknown and rough terrains. For such tasks, visual feedback is a fundamental asset to provide robots…