Control architecture for the Belgrade/USC hand
Dextrous robot hands
Reinforcement learning for robots using neural networks
Reinforcement learning for robots using neural networks
Autonomous Robots
Feedback Control of Dynamic Systems
Feedback Control of Dynamic Systems
Embodiment and Manipulation Learning Process for a Humanoid Hand
Embodiment and Manipulation Learning Process for a Humanoid Hand
A numerical simulation of the grasp operation by LARM Hand IV: A three finger robotic hand
Robotics and Computer-Integrated Manufacturing
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We have constructed and tested a robotic hand that is a part of ahumanoid being developed at the MIT Artificial IntelligenceLaboratory. It is a human-scale cable-driven tool containing fouractuators, thirty-six sensors, and computing tools on board. Thecombination of its conciseness and sensing capability allows anintegration with other anthropomorphically scaled systems. Thispaper presents a detailed description of the mechanical design andits implementation, including the structure of the physical hand,tendon cabling strategy, actuators, sensors and computingtools.