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Benchmarking the HRP-2 Humanoid Robot During Locomotion.

Olivier Stasse1, Kevin Giraud-Esclasse1, Edouard Brousse2

  • 1Laboratoire d'Analyse et d'Architecture des Systèmes, CNRS, Université de Toulouse, Toulouse, France.

Frontiers in Robotics and AI
|January 27, 2021
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Summary

This study benchmarks the HRP-2 humanoid robot

Keywords:
benchmarkingbipedal locomotioncontrolled environmenthumanoid robot HRP-2numerical optimizationwalking

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Area of Science:

  • Robotics
  • Humanoid Robot Technology
  • Mechatronics

Background:

  • The HRP-2 humanoid robot is a robust, electrically driven platform widely used for developing motion generation algorithms.
  • New humanoid robot prototypes necessitate performance comparisons with established models like HRP-2.
  • Benchmarking provides crucial data for advancing humanoid robot capabilities.

Purpose of the Study:

  • To benchmark the performance of the HRP-2 humanoid robot.
  • To evaluate the impact of environmental factors, specifically temperature variations, on robot walking capabilities.
  • To assess various motion generation algorithms, from analytical to numerical optimization approaches.

Main Methods:

  • Conducted a measurement campaign in a specialized, controlled laboratory environment.
  • Investigated the effects of temperature variations on bipedal locomotion.
  • Computed a suite of performance indicators for robot walking.
  • Evaluated algorithms including analytical solutions and numerical optimization for real-time and multi-contact motions.

Main Results:

  • Established performance benchmarks for the HRP-2 humanoid robot under controlled conditions.
  • Quantified the influence of temperature fluctuations on the robot's walking stability and efficiency.
  • Demonstrated the effectiveness of various motion generation algorithms in diverse environmental settings.

Conclusions:

  • The HRP-2 serves as a valuable reference for benchmarking new humanoid robot technologies.
  • Environmental factors like temperature significantly affect humanoid robot locomotion.
  • The study provides a framework for evaluating and comparing motion generation algorithms for bipedal robots.