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Updated: Aug 20, 2025

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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A Non-Flat Terrain Biped Gait Planner Based on DIRCON.

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Summary

This study introduces a novel biped gait planner using trajectory optimization for stable walking on diverse non-flat terrains. The planner effectively handles complex constraints, enabling robust bipedal locomotion.

Keywords:
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Area of Science:

  • Robotics
  • Control Systems
  • Biomechanics

Background:

  • Bipedal locomotion faces significant constraints, particularly on uneven terrain.
  • Trajectory optimization is a key method for biped gait planning due to its constraint-handling capabilities.
  • Existing methods struggle with complex, non-flat terrain scenarios.

Purpose of the Study:

  • To propose a multi-modal biped gait planner capable of generating diverse gaits for various non-flat terrains.
  • To enhance trajectory optimization methods for improved bipedal stability and adaptability.
  • To validate the planner's performance on a newly designed biped robot.

Main Methods:

  • Utilizing Direct Collocation (DIRCON) for trajectory optimization.
  • Designing a virtual knot to model swing foot-terrain contact and state transitions.
  • Implementing slacked complementary constraints to couple terrain information with bipedal motion.
  • Simulating the gait planner and biped robot in CoppeliaSim.

Main Results:

  • The proposed planner successfully generated stable gaits for flat, stairs, and quincuncial pile terrains.
  • The virtual knot approach enabled simultaneous generation of complete gait sequences.
  • Slacked complementary constraints effectively managed terrain-specific motion requirements.
  • The biped robot demonstrated stable walking on non-flat terrains with simple PD control.

Conclusions:

  • The developed multi-modal gait planner effectively addresses complex constraints in bipedal locomotion on non-flat terrains.
  • The integration of virtual knots and slacked complementary constraints offers a robust solution for gait planning.
  • The planner's performance validates its potential for real-world bipedal robot applications.