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