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Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

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Virtual elasto-plastic robot compliance to active environments.

Michael Panzirsch¹, Harsimran Singh¹, Xuwei Wu¹

¹German Aerospace Center (DLR), Robotics and Mechatronics Center, Wessling, Germany.

Science Robotics

|February 26, 2025

Summary

This summary is machine-generated.

Robots can now adapt their physical compliance like humans, improving safety and cooperation in dynamic environments. This new elasto-plastic compliance enhances robot robustness for space missions and human-robot interactions.

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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.