3 papers
cs.RO2026
AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimation
Morgan Byrd, Donghoon Baek, Kartik Garg +5
This paper presents Adaptive Whole-body Loco-Manipulation, AdaptManip, a fully autonomous framework for humanoid robots to perform integrated navigation, object lifting, and delive…
cs.LG2025
Deep Reinforcement Learning for Multi-Agent Coordination
Kehinde O. Aina, Sehoon Ha
We address the challenge of coordinating multiple robots in narrow and confined environments, where congestion and interference often hinder collective task performance. Drawing in…
cs.RO2025
A Design Co-Pilot for Task-Tailored Manipulators
Jonathan Külz, Sehoon Ha, Matthias Althoff
Although robotic manipulators are used in an ever-growing range of applications, robot manufacturers typically follow a ``one-fits-all'' philosophy, employing identical manipulator…