Joint Trajectory Generation of Obstacle Avoidance in Tight Space for Robot Manipulator
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0617-8_3
Reference15 articles.
1. Cao, K., Cheng, Q., Gao, S., Chen, Y., Chen, C.: Improved PRM for path planning in narrow passages. In: 2019 IEEE International Conference on Mechatronics and Automation (ICMA), pp. 45–50. IEEE (2019)
2. Chen, G., Luo, N., Liu, D., Zhao, Z., Liang, C.: Path planning for manipulators based on an improved probabilistic roadmap method. Robot. Comput.-Integr. Manuf. 72, 102196 (2021)
3. Feng, C., Wu, H.: Accelerated RRT* by local directional visibility. arXiv preprint arXiv:2207.08283 (2022)
4. Han, X., Wang, T.T., Liu, B.: Path planning for robotic manipulator in narrow space with search algorithm. In: 2017 2nd International Conference on Advanced Robotics and Mechatronics (ICARM) (2017)
5. Hoffmann, H., Pastor, P., Park, D.H., Schaal, S.: Biologically-inspired dynamical systems for movement generation: automatic real-time goal adaptation and obstacle avoidance. In: IEEE International Conference on Robotics and Automation, ICRA 2009 (2009)
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