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cs.AI2025
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
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…