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Tri Le

1 accepted papers

2025

GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System

IROS 2025

Language-driven grasp detection has the potential to revolutionize human-robot interaction by allowing robots to understand and execute grasping tasks based on natural language commands. However, existing approaches face two key challenges. First, they often struggle to interpret complex text instru

Cited by 0SourcecodeScholar