Haptic and Visual Feedback Assistance for Dual-Arm Robot Teleoperation in Surface Conditioning Tasks

Area of Science:

• Robotics
• Human-Robot Interaction
• Automation

Background:

• Autonomous surface conditioning tasks (wiping, polishing, sanding) are challenging to program, especially with moving objects.
• Human-robot physical interaction aids teaching but is not always feasible.
• Robot teleoperation is crucial for hazardous or inaccessible environments.

Purpose of the Study:

• To introduce a novel dual-arm teleoperation architecture with haptic and visual feedback for surface treatment.
• To develop task-based assistance systems for individual robotic manipulator control.
• To enhance operator immersion and control in remote surface conditioning operations.

Main Methods:

• Developed a dual-arm teleoperation architecture incorporating haptic and visual feedback.
• Implemented two task-based assistance systems for independent manipulator control.
• Conducted usability tests using the Baxter dual-arm collaborative robot for validation.

Main Results:

• The proposed assistance method significantly reduced task duration.
• Overall teleoperation performance was demonstrably improved.
• Operator immersion was enhanced through integrated sensory feedback.

Conclusions:

• The novel teleoperation architecture effectively supports complex surface treatment tasks.
• Assisted control systems enhance efficiency and performance in remote robotic operations.
• This approach offers a viable solution for tasks requiring human oversight in challenging environments.