Robotics
AI 驱动的力和力矩控制
AI-Enabled Force and Torque ControlA control framework integrating machine learning with conventional methods to regulate contact forces and torques in human-robot interaction by learning dynamics from sensor data and adjusting gains in real time. / 一种将机器学习与传统方法相结合的控制框架，通过从传感器数据中学习动力学并在实时调整增益，以调节人机交互中的接触力和力矩。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-08 07:56:44
Sub-knowledge points
Impedance and admittance control strategiesMulti-modal sensor data integrationReal-time gain adjustmentCollaborative robotic platformRehabilitation roboticsIndustrial cobots
Higher-order knowledge points
Human Robot Interaction (HRI)Safe and intuitive interactionAdaptability and complianceRobustness and user comfort
Main parameters and performance indicators
force torque sensors: input data for learning interaction dynamicsjoint encoders: input data for learning interaction dynamicsinertial measurements: input data for learning interaction dynamicsdeep neural networks: model for learning human intent and dynamicsreinforcement learning: method for optimizing control gainscontrol gains: parameters adjusted in real time for stability
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsAI-Enabled Force and Torque Control for Human Robot InteractionOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: AI-Enabled Force and Torque Control.
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