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Robotic leaping enhanced by thrust-induced hypogravity, achieving precise, predictable, and extended jumps.
Zijie Sun1, Jianguo Zhao1, Yangmin Li2
1Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
This study introduces a bipedal robot that uses thrust-induced hypogravity and trajectory control for enhanced jumping. This robotic jumping technology achieves greater range and precision in dynamic environments.
Area of Science:
- Robotics
- Biomimicry
- Mechanical Engineering
Background:
- Robotic jumping research aims to improve navigation in unstructured environments.
- Achieving precise and predictable jumps in dynamic settings remains a significant engineering challenge.
- Earth's gravity requires powerful actuators and lightweight designs for high robotic jumps.
Purpose of the Study:
- To develop a bipedal robot capable of precise, predictable, and extended-range jumps in dynamic environments.
- To overcome limitations of current robotic jumping systems in terms of range and adaptability.
- To advance the fields of engineering and biomimicry through novel robotic locomotion.
Main Methods:
- Utilized a bipedal robot employing thrust-induced hypogravity.
- Implemented dual regulation of aerial attitude and parabolic trajectory via thrust vectoring.
- Tested the robot's ability to clear obstacles like stairs, walls, and streams, and navigate dynamic scenarios.
Main Results:
- Achieved a maximum leap range of 6.9 meters, exceeding leg force limitations.
- Successfully cleared multi-level stairs, a 2.35-meter wall, and a 3-meter stream.
- Demonstrated precise leap distance control, enabling navigation through fast-moving windows and onto shifting targets.
Conclusions:
- Self-generated hypogravity and parabolic trajectory regulation significantly enhance robotic jumping capabilities.
- The developed robotic jumping system offers extended range, precision, and predictability for dynamic environments.
- This research paves the way for more adaptable and capable robots in complex, real-world scenarios.
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