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A Control Framework for Anthropomorphic Biped Walking Based on Stabilizing Feedforward Trajectories.

Siavash Rezazadeh¹, Robert D Gregg¹

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Summary

This summary is machine-generated.

This study introduces a novel, highly stable dynamic walking controller for humanoid robots and prosthetic legs. The time-based trajectory method ensures robust performance and improved human-prosthesis coordination during walking.

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Area of Science:

Robotics
Biomechanics
Control Systems

Background:

Most humanoid robots use quasi-static Zero Moment Point (ZMP) controllers.
Dynamic walking methods show promise but are not widely adopted.
Need for stable controllers for humanoid robots and prosthetics.

Purpose of the Study:

Design a highly stable dynamic walking controller for human-like models.
Develop a controller applicable to both humanoid robots and prosthetic legs.
Improve coordination in amputee walking models.

Main Methods:

Utilized time-based trajectories to achieve a stable limit cycle.
Designed a controller for dynamic walking of a bipedal robot model.
Simulated the controller's performance and robustness.

Main Results:

Demonstrated the controller's high stability.
Showcased robustness against external perturbations.
Validated the controller for dynamic walking applications.

Conclusions:

The time-based trajectory controller offers enhanced stability for dynamic walking.
This method can improve human-prosthesis interaction and coordination.
The controller is suitable for humanoid robots and advanced prosthetic legs.