Se encontraron 5 investigaciones
This research aims to advance the capabilities of robotic systems in real-world settings by developing a framework for deformable object manipulation. The proposed approach integrates multimodal sensory perception, language-vision fusion for instructions interpretation, and adaptive action planning.
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Moonshot Goal 3
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Our project proposes a concept of Reliable Interventional (RI) AI Robotics where a medical profession could diagnose and treat a patient with AI and robots as well as conventional medical devices, sharing ambiguity points in the reliable suggestion from AI.
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Our project has focused on developing robotic grippers and hands for learning manipulation tasks. We proposed several innovative designs, including a cable-driven gripper with decoupled joints for effective grasping force estimation and a variation of anthropomorphic robotic fingers using linkage mechanisms to increase rigidity and pinch force.
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This program proposes to use ¿elaborate fakes equipped with sensors¿ to quantitatively understand qualitative sensory expressions and quickly deliver technology seeds to society by eliminating trial and error.
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