Human-inspired stable bilateral teleoperation of mobile manipulators

Area of Science:

• Robotics
• Control Systems
• Human-Robot Interaction

Background:

• Teleoperation of mobile manipulator robots faces challenges due to communication time delays.
• Ensuring system stability and improving operator perception are critical for effective remote control.

Purpose of the Study:

• To develop a novel strategy for delayed bilateral teleoperation of mobile manipulator robots.
• To enhance operator perception of system states and improve task performance under communication delays.

Main Methods:

• A new control scheme for simultaneous mobile platform and manipulator control using a single master device.
• Stability analysis using Lyapunov-Krasovskii method for systems with variable and asymmetric time delays.
• A control allocation strategy based on human movement analysis for navigation-pick and place tasks.

Main Results:

• The proposed scheme provides stability guidelines for delayed systems.
• The strategy is more intuitive and easier for operators compared to standard switched control.
• Significant reduction in task completion time was observed in practical experiments.

Conclusions:

• The novel teleoperation strategy effectively addresses challenges posed by communication delays in mobile manipulator systems.
• The approach enhances user experience and operational efficiency, offering a practical solution for remote robotic tasks.