New GRASP framework enables robots to grasp objects from natural language commands

Researchers have developed a new framework called GRASP (Grounded Reasoning and Symbolic Planning) to enable robots to understand and execute natural language commands for manipulation tasks. This neuro-symbolic approach uses a Vision-Language Model (VLM) to translate abstract language prompts into grounded, symbolic goal states represented by bounding boxes. The system demonstrated success in real-world trials, achieving a 73.3% success rate across 90 trials without requiring task-specific training. AI

IMPACT Enables robots to perform manipulation tasks based on abstract language, potentially accelerating integration into real-world environments.

RANK_REASON This is a research paper describing a new framework for robotics. [lever_c_demoted from research: ic=1 ai=1.0]

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