Research on Obstacle Avoidance Tracking Planning of Hyper-redundant Manipulator Based on VR Technology
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-94185-7_31
Reference11 articles.
1. Aijuan, L., Wanzhong, Z., Xibo, W., et al.: ACT-R cognitive model based trajectory planning method study for electric vehicle’s active obstacle avoidance system. Energies 11(1), 75 (2018)
2. Mu, Z., Liu, T., Xu, W., et al.: A Hybrid Obstacle-avoidance method of spatial hyper-redundant manipulators for servicing in confined space. Robotica 37(6), 998–1019 (2019)
3. Yue, M., Wu, X., Guo, L., et al.: Quintic polynomial-based obstacle avoidance trajectory planning and tracking control framework for tractor-trailer system. Int. J. Control Autom. Syst. 17(10), 2634–2646 (2019)
4. Hu, Z., Zhu, D., Cui, C., et al.: Trajectory tracking and re-planning with model predictive control of autonomous underwater vehicles. J. Navig. 72(2), 321–341 (2019)
5. Kano, H., Fujioka, H.: Spline trajectory planning for road-like path with piecewise linear boundaries allowing double corner points. Sice J. Control Meas. Syst. Integrat. 11(6), 429–437 (2018)
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