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Daniel Ordonez-Apraez

2 accepted papers

2025

Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation

CoRL 2025poster

Humans naturally exhibit bilateral symmetry in their gross manipulation skills, effortlessly mirroring simple actions between left and right hands. Bimanual robots—which also feature bilateral symmetry—should similarly exploit this property to perform tasks with either hand. Unlike humans, who often…

Cited by 0SourceScholar
2022

An Adaptable Approach to Learn Realistic Legged Locomotion without Examples

ICRA 2022poster

Learning controllers that reproduce legged locomotion in nature has been a longtime goal in robotics and computer graphics. While yielding promising results, recent approaches are not yet flexible enough to be applicable to legged systems of different morphologies. This is partly because they often…

Cited by 11SourceScholar