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Explosive Output to Enhance Jumping Ability: A Variable Reduction Ratio Design Paradigm for Humanoid Robot Knee Joint
Xiaoshuai Ma1, Qingqing Li1, Haochen Xu1
1School of Mechatronic Engineering, Beijing Institute of Technology, Beijing 100081, China.
Biomimetics (Basel, Switzerland)
|January 27, 2026
Summary
This study introduces a variable-reduction-ratio knee joint for humanoid robots, enhancing explosive power output. This innovation significantly improves jump performance and agility in robotic systems.
Area of Science:
- Robotics
- Mechanical Engineering
- Biomechanics
Background:
- Enhancing explosive power in humanoid robot knee joints is crucial for agility and obstacle crossing.
- Current designs face limitations due to mismatched transmission ratios and power losses at high speeds, restricting jump performance.
Purpose of the Study:
- To introduce a novel variable-reduction-ratio knee-joint paradigm to overcome existing limitations.
- To improve the explosive power output and overall jump performance of humanoid robots.
Main Methods:
- Developed a variable-reduction-ratio knee-joint where the ratio decreases with joint angle during extension.
- Utilized a linear-actuator-driven guide-rod mechanism to implement the variable ratio strategy.
- Employed parameter optimization guided by explosive jump control for design selection.
Main Results:
- Experimental validation showed a 0.63 m jump height on a single-joint platform, a 31.9% theoretical improvement over fixed-ratio designs.
- Integration into a humanoid robot resulted in a 1.1 m long jump, 0.5 m high jump, and 0.5 m box jump.
- The variable ratio strategy effectively increased takeoff torque and extended the high-power operating window by limiting motor speed and power losses.
Conclusions:
- The proposed variable-reduction-ratio knee-joint paradigm significantly enhances humanoid robot jump performance.
- This design addresses the limitations of fixed-ratio systems, enabling greater agility and obstacle-crossing capabilities.
- The findings pave the way for more dynamic and capable humanoid robots in various applications.
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