3 papers
cs.AI2026
ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning
Jae-Woo Choi, Hyungmin Kim, Hyobin Ong +4
Recent advancements in large language models (LLMs) have enabled significant progress in decision-making and task planning for embodied autonomous agents. However, most existing me…
cs.RO2025
Design and Evaluation of an Uncertainty-Aware Shared-Autonomy System with Hierarchical Conservative Skill Inference
Taewoo Kim, Donghyung Kim, Minsu Jang +1
Shared-autonomy imitation learning lets a human correct a robot in real time, mitigating covariate-shift errors. Yet existing approaches ignore two critical factors: (i) the operat…
cs.RO2025
Learning Dexterous Bimanual Catch Skills through Adversarial-Cooperative Heterogeneous-Agent Reinforcement Learning
Taewoo Kim, Youngwoo Yoon, Jaehong Kim
Robotic catching has traditionally focused on single-handed systems, which are limited in their ability to handle larger or more complex objects. In contrast, bimanual catching off…