5 papers
When Coordination Becomes a Threat: Communication Attacks in LLM-Controlled Multi-Robot Systems
Zhen Huang, Zhihuang Liu, Weijia Shi +3
Large Language Models (LLMs) are increasingly used as high-level planners in embodied multi-robot systems, enabling robots to interpret natural language instructions and coordinate…
Propagating Unsafe Actions in LLM Controlled Multi-Robot Collaboration via Single Robot Compromise
Zhen Huang, Zhihuang Liu, Mengxuan Luo +2
Large language models (LLMs) are increasingly used as general planners in embodied intelligence, enabling high level coordination and low level task planning for both single robot…
StyleGallery: Training-free and Semantic-aware Personalized Style Transfer from Arbitrary Image References
Boyu He, Yunfan Ye, Chang Liu +3
Despite the advancements in diffusion-based image style transfer, existing methods are commonly limited by 1) semantic gap: the style reference could miss proper content semantics,…
TOSC: Task-Oriented Shape Completion for Open-World Dexterous Grasp Generation from Partial Point Clouds
Weishang Wu, Yifei Shi, Zhiping Cai
Task-oriented dexterous grasping remains challenging in robotic manipulations of open-world objects under severe partial observation, where significant missing data invalidates gen…
PartDexTOG: Generating Dexterous Task-Oriented Grasping via Language-driven Part Analysis
Weishang Wu, Yifei Shi, Zhizhong Chen +1
Task-oriented grasping is a crucial yet challenging task in robotic manipulation. Despite the recent progress, few existing methods address task-oriented grasping with dexterous ha…