Stochastic functional gradient for motion planning in continuous occupancy maps
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7960754/7988677/07989436.pdf?arnumber=7989436
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Conventional, Heuristic and Learning-Based Robot Motion Planning: Reviewing Frameworks of Current Practical Significance;Machines;2023-07-07
2. Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29
3. Α New Method to Generate the Initial Population of the Bees Algorithm for Robot Path Planning in a Static Environment;Springer Series in Advanced Manufacturing;2022-11-20
4. Sparse Representations of Positive Functions via First- and Second-Order Pseudo-Mirror Descent;IEEE Transactions on Signal Processing;2022
5. Highly optimized Q‐learning‐based bees approach for mobile robot path planning in static and dynamic environments;Journal of Field Robotics;2021-12-13
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