A Novel Hand Teleoperation Method with Force and Vibrotactile Feedback Based on Dynamic Compliant Primitives...

Area of Science:

• Robotics
• Human-Computer Interaction
• Control Systems

Background:

• Teleoperation allows robots to act remotely, but current systems often lack operator immersion and compliant grasping capabilities.
• Dexterous robotic hands require advanced control for effective manipulation in complex environments.

Purpose of the Study:

• To enhance operator immersion and achieve compliant, adaptive grasping in teleoperated robotic hands.
• To develop a novel teleoperation method integrating advanced feedback mechanisms.

Main Methods:

• Implementation of a Fuzzy Logic-Dynamic Compliant Primitives (FL-DCP) controller for robotic hand manipulation.
• Integration of finger-to-finger force and vibrotactile feedback in a bilateral teleoperation system.
• Utilizing fuzzy logic for object stiffness identification and adaptive impedance control.

Main Results:

• The novel method significantly enhances operator immersion and improves grasping compliance and adaptability.
• Bidirectional feedback increases teleoperation success rates and reduces operator fatigue.
• Experimental results demonstrate superior performance compared to existing teleoperation approaches.

Conclusions:

• The bio-inspired teleoperation method effectively mimics human-like stiffness modulation for precise robotic control.
• This approach advances teleoperated systems, enabling broader applications in hazardous or remote environments.
• The integration of human-like decision-making and precise robotic control is key for future teleoperation development.