4 papers · 1 filter
ProAct: A Benchmark and Multimodal Framework for Structure-Aware Proactive Response
Xiaomeng Zhu, Fengming Zhu, Weijie Zhou +8
While passive agents merely follow instructions, proactive agents align with higher-level objectives, such as assistance and safety by continuously monitoring the environment to de…
UniBYD: A Unified Framework for Learning Robotic Manipulation Across Embodiments Beyond Imitation of Human Demonstrations
Tingyu Yuan, Biaoliang Guan, Wen Ye +8
In embodied intelligence, the embodiment gap between robotic and human hands brings significant challenges for learning from human demonstrations. Although some studies have attemp…
PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability
Weijie Zhou, Manli Tao, Chaoyang Zhao +4
Understanding the environment and a robot's physical reachability is crucial for task execution. While state-of-the-art vision-language models (VLMs) excel in environmental percept…
LightPlanner: Unleashing the Reasoning Capabilities of Lightweight Large Language Models in Task Planning
Weijie Zhou, Manli Tao, Chaoyang Zhao +3
In recent years, lightweight large language models (LLMs) have garnered significant attention in the robotics field due to their low computational resource requirements and suitabi…