Walking with perturbations: a guide for biped humans and robots

Area of Science:

• Neuroscience
• Robotics
• Bioengineering

Background:

• Current bioinspired models often use symmetrical central pattern generators (CPGs) for bipedal walking.
• Emerging evidence suggests CPGs function asymmetrically, with flexor components closely tied to rhythm generation.
• Bipedal gait stability is a critical challenge for both biological systems and robots.

Purpose of the Study:

• To review the neural control of bipedal walking, integrating bioinspired models and robotics.
• To discuss the implications of asymmetrical CPG functioning for understanding gait.
• To explore robotic approaches to gait stability and perturbation responses.

Main Methods:

• Review of current literature on neural control of walking.
• Analysis of bioinspired models and robotic implementations of CPGs.
• Examination of human physiological responses to gait perturbations.

Main Results:

• CPG functioning in bipedal locomotion may be fundamentally asymmetrical.
• Robotic solutions for gait stability can offer hypotheses for biological systems.
• Robots are beginning to learn adaptive responses to gait perturbations, inspired by human strategies.

Conclusions:

• Asymmetrical CPGs represent a significant departure from current symmetrical models.
• Robotics provides a platform for testing and developing new hypotheses regarding gait control and stability.
• Understanding and implementing adaptive responses to perturbations is crucial for robust bipedal locomotion in both humans and robots.