Virtual elasto-plastic robot compliance to active environments

Area of Science:

• Robotics
• Human-Robot Interaction
• Control Systems

Background:

• Human interaction with the environment relies on adaptable compliance for robustness and safety.
• Cooperative robots are crucial for space exploration, maintenance, and habitat construction.
• A key challenge for robots is interacting safely and effectively in dynamic, unpredictable environments.

Purpose of the Study:

• To enhance active robot compliance for improved interaction in dynamic environments.
• To enable robots to exhibit human-like adaptable compliance for safety and cooperation.
• To reduce risks and costs in space missions through advanced robotic capabilities.

Main Methods:

• Introduction of a virtual plastic first-order impedance component to active robot compliance.
• Realization of elasto-plastic compliance through energy-based detection of active environments.
• Enabling evasive motions via adaptive plastic compliance.

Main Results:

• Demonstrated enhanced robustness in interaction with articulated objects through space teleoperation experiments.
• Facilitated robot cooperation in space missions using the proposed compliance method.
• Validated the method's effectiveness in human-robot shared environments, establishing a subordinate robot role.

Conclusions:

• The elasto-plastic compliance enhancement significantly improves robot interaction capabilities.
• This approach is vital for developing robust and safe cooperative robotic systems in space and healthcare.
• The method allows robots to adapt their behavior, mirroring human-like compliant interaction.