3 papers
cs.RO2026
GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
Kaiyuan Chen, Shuangyu Xie, Letian Fu +21
For robots to work reliably in commercial and industrial applications, can recent advances in agentic coding systems combine interpretable robot programming with the open-world ada…
cs.RO2024
ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning
Daehwa Kim, Mario Srouji, Chen Chen +1
Humanoid robots have significant gaps in their sensing and perception, making it hard to perform motion planning in dense environments. To address this, we introduce ARMOR, a novel…
cs.RO2024
EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning
Peide Huang, Yuhan Hu, Nataliya Nechyporenko +3
This paper introduces a framework, called EMOTION, for generating expressive motion sequences in humanoid robots, enhancing their ability to engage in humanlike non-verbal communic…