activity
20172020
most citedPlanning and Execution of Dynamic Whole-Body Locomotion for a Hydraulic Quadruped on Challenging Terrain

93 citations · 131 across the 3 of their papers we have counts for

collaborators

6 papers

cs.RO2020

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.RO2020

Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion

Teguh Santoso Lembono, Carlos Mastalli, Pierre Fernbach +2

In this paper, we propose a framework to build a memory of motion for warm-starting an optimal control solver for the locomotion task of a humanoid robot. We use HPP Loco3D, a vers…

cs.RO2019

Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control

Carlos Mastalli, Rohan Budhiraja, Wolfgang Merkt +7

We introduce Crocoddyl (Contact RObot COntrol by Differential DYnamic Library), an open-source framework tailored for efficient multi-contact optimal control. Crocoddyl efficiently…

cs.RO201993 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.RO201937 cited

On-line and on-board planning and perception for quadrupedal locomotion

Carlos Mastalli, Ioannis Havoutis, Alexander W. Winkler +2

We present a legged motion planning approach for quadrupedal locomotion over challenging terrain. We decompose the problem into body action planning and footstep planning. We use a…

cs.RO20171 cited

The Actuation-consistent Wrench Polytope (AWP) and the Feasible Wrench Polytope (FWP)

Romeo Orsolino, Michele Focchi, Carlos Mastalli +3

The motivation of our current research is to devise motion planners for legged locomotion that are able to exploit the robot's actuation capabilities. This means, when possible, to…