Smart Robotic Grasping with Language
Teaching Robots to Understand Physical Properties Through Language Models
GraspCoT integrates large language models with robotic systems to enable flexible, instruction-guided object grasping that accounts for physical properties.
- Leverages LLMs to interpret natural language instructions for robotic grasping tasks
- Incorporates physical property reasoning to improve grasp success rates
- Uses Chain-of-Thought prompting to help robots understand object attributes
- Demonstrates practical applications for industrial automation and manufacturing
This advancement represents a significant step toward more intuitive human-robot interaction in engineering environments, allowing robots to understand not just what to grasp, but how to grasp it based on physical properties.