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Tethered UAV Autonomous Knotting on Environmental Structures for Transport
Rui Jin1, Xinhang Xu1, Yizhuo Yang1
1School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang 639798, Singapore.
This study presents a novel cable-driven transport system using a tethered unmanned aerial vehicle (UAV) for autonomous cable anchoring. The system enables heavy-load transport in unprepared environments, enhancing robotic logistics capabilities.
Area of Science:
- Robotics
- Autonomous Systems
- Mechanical Engineering
Background:
- Cable-driven robotic systems offer high load-bearing efficiency for transport.
- Autonomous anchoring of cable endpoints in unknown environments remains a significant challenge.
Purpose of the Study:
- To develop a deployable cable-driven transport system with autonomous anchoring capabilities.
- To enable heavy-load transport in unstructured and unprepared environments.
Main Methods:
- Integration of a tethered unmanned aerial vehicle (UAV) with a winch mechanism.
- A modular knot planner featuring human-in-the-loop enclosing plane extraction and path search.
- Utilizing metrics for planarity, tether visibility, and clearance in knotting trajectory generation.
Main Results:
- Successful autonomous knotting operation around a target structure in an urbanized outdoor environment.
- Demonstrated lifting of a 15.3-kg payload to a height of 3.5 meters.
- Simulation studies confirmed shape-agnostic knotting and ablation experiments validated optimization metrics.
Conclusions:
- The proposed system is practical and robust for autonomous heavy-load transport in complex, unprepared environments.
- Offers new capabilities for rapidly deployable robotic logistics.
- Highlights the effectiveness of joint optimization metrics for autonomous anchoring.
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