activity
20172026
most citedRLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control

138 citations · 230 across the 8 of their papers we have counts for

collaborators

9 papers

cs.RO2026

Task-Conditioned Uncertainty Costmaps for Legged Locomotion

Kartikeya Singh, Christo Aluckal, Romeo Orsolino +1

Legged robots maintain dynamic feasibility through multicontact interactions with terrain. Learned foothold prediction can provide feasibility-aware costs for motion planning and p…

cs.RO2021

Receding-Horizon Perceptive Trajectory Optimization for Dynamic Legged Locomotion with Learned Initialization

Oliwier Melon, Romeo Orsolino, David Surovik +3

To dynamically traverse challenging terrain, legged robots need to continually perceive and reason about upcoming features, adjust the locations and timings of future footfalls and…

cs.RO2020★ 138 cited

RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control

Siddhant Gangapurwala, Mathieu Geisert, Romeo Orsolino +2

We present a unified model-based and data-driven approach for quadrupedal planning and control to achieve dynamic locomotion over uneven terrain. We utilize on-board proprioceptive…

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.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

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★ 28 cited

Heuristic Planning for Rough Terrain Locomotion in Presence of External Disturbances and Variable Perception Quality

Michele Focchi, Romeo Orsolino, Marco Camurri +4

The quality of the visual feedback can vary significantly on a legged robot that is meant to traverse unknown and unstructured terrains. The map of the environment, acquired with o…

cs.RO2017★ 1 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…

cs.RO2017★ 61 cited

Application of Wrench based Feasibility Analysis to the Online Trajectory Optimization of Legged Robots

Romeo Orsolino, Michele Focchi, Carlos Mastalli +3

Motion planning in multi-contact scenarios has recently gathered interest within the legged robotics community, however actuator force/torque limits are rarely considered. We belie…