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September 10, 2025Intelligence & RoboticsOpen Access

Advancements in humanoid robot dynamics and learning-based locomotion control methods

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Authors

SSShilong SunHHHaodong HuangCLChuandong Li

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Overview

This review categorizes control methods and examines navigation and obstacle-avoidance in humanoid robots.

Key Points

  • Current advancements in humanoid robots have improved motion control and overall usability, addressing key challenges.
  • The review highlights both traditional dynamics-based and modern learning-based methods for robot control.
  • Navigational capabilities, including obstacle-avoidance, are critical for practical applications of humanoid robots.
  • Future developments should focus on integrating innovative learning methods to enhance adaptability and performance.

Cite This Study

Sun et al. (2025) studied this question.

synapsesocial.com/papers/68c1afc654b1d3bfb60e77b2https://doi.org/10.20517/ir.2025.32
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Also Consider

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  1. 1Evolution of humanoid locomotion control2026
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  3. 3Reinforcement Learning-Based Adaptive Motion Control of Humanoid Robots on Multi-Terrain2026 · 1 citations
  4. 4Learning Generic and Dynamic Locomotion of Humanoids Across Discrete Terrains2024
  5. 5Research on humanoid robot motion generation and real-time trajectory optimization based on sparse attention mechanism in deep reinforcement learning2025