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Bioinspired Adaptive Leg-Claw Enables Robust Perching and Grasping for UAVs
Tianyu Cheng1, Shaokun Wang1, Jiehan Zou1
1College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|March 13, 2026
Summary
This study introduces a novel bioinspired leg-claw mechanism for unmanned aerial vehicles (UAVs), enabling robust perching and grasping in complex environments. The adaptive design mimics raptor hindlimbs for versatile aerial manipulation and prolonged operation.
Area of Science:
- Robotics
- Bio-inspired engineering
- Mechanical design
Background:
- Conventional unmanned aerial vehicles (UAVs) face limitations in perching and grasping, restricting their operational capabilities in complex, unstructured environments.
- Raptors exhibit advanced aerial manipulation and stable roosting due to specialized hindlimb morphology, offering a model for bio-inspired design.
Purpose of the Study:
- To develop a bio-inspired adaptive leg-claw mechanism for UAVs that enhances perching and grasping abilities.
- To enable UAVs to achieve stable attachment and manipulation in diverse and challenging environments.
Main Methods:
- Integration of a four-link tibia, tension-driven deformable feet, and symmetrical toes for stable surface attachment.
- Development of an active grasping strategy and control framework for autonomous mode switching (standing/hanging) and adaptive toe adjustment.
- Bio-mimicry of owl limb structure and bat roosting behaviors.
Main Results:
- The bio-inspired mechanism allows UAVs to perform robust and versatile perching and grasping.
- Demonstrated stable attachment on surfaces of varying geometry and diameters.
- Enabled autonomous switching between standing and hanging perching modes and adaptive grasping of irregular objects.
Conclusions:
- The proposed leg-claw mechanism significantly enhances UAV functionality for perching and grasping in unstructured environments.
- This bio-inspired approach holds substantial potential for advancing autonomous aerial robotics and prolonged field operations.
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