Abstract
Efficient path planning for hyper-redundant continuum and snake-like robots is a challenging task due to limited sensing capabilities, high computational loads, multiple possible solutions, and non-linear models. This letter presents a new approach to snake robot navigation and coiling, with an algorithm that enables online step-by-step position adjustment with a follow-the-leader strategy, significantly improving the performance of the robot when compared to previous methods. The proposed algorithm is demonstrated on a 16-degree-of-freedom snake-like robot for inspection and maintenance tasks in nuclear facilities.
Original language | English |
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Article number | 9484758 |
Pages (from-to) | 7493-7500 |
Number of pages | 8 |
Journal | IEEE Robotics and Automation Letters |
Volume | 6 |
Issue number | 4 |
DOIs | |
Publication status | Published - Oct 2021 |
Externally published | Yes |
Keywords
- Continuum robot, robotics in hazardous fields
- coiling
- collision avoidance
- motion and path planning
ASJC Scopus subject areas
- Control and Systems Engineering
- Biomedical Engineering
- Human-Computer Interaction
- Mechanical Engineering
- Computer Vision and Pattern Recognition
- Computer Science Applications
- Control and Optimization
- Artificial Intelligence