Alexander Luis Mitchell — accepted AI-conference papers

2025

COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping

Jun Yamada, Alexander Luis Mitchell, Jack Collins, Ingmar Posner

CoRL 2025poster

This paper addresses the challenge of occluded robot grasping, i.e. grasping in situations where the desired grasp poses are kinematically infeasible due to environmental constraints such as surface collisions. Existing RL methods struggle with task complexity, and collecting expert demonstrations i…

Cited by 0 Source ↗Scholar ↗

2024

Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion

Alexander Luis Mitchell, Wolfgang Merkt, Aristotelis Papatheodorou, Ioannis Havoutis, Ingmar Posner

CoRL 2024poster

The current state-of-the-art in quadruped locomotion is able to produce a variety of complex motions. These methods either rely on switching between a discrete set of skills or learn a distribution across gaits using complex black-box models. Alternatively, we present Gaitor, which learns a disentan…

Cited by 3 Source ↗Scholar ↗