HIGHLIGHTS
- who: Aphilak Lonklang and Ju00e1nos Botzheim from the Department of Artificial Intelligence, Faculty of Informatics, ELTE Eu00f6tvu00f6s Loru00e1nd University, Pu00e1zmu00e1ny Pu00e9ter have published the article: Improved Rapidly Exploring Random Tree with Bacterial Mutation and Node Deletion for Offline Path Planning of Mobile Robot, in the Journal: Electronics 2022, 11, 1459. of /2022/
- what: It is the main reason why RRT-based algorithms are used in path planning for robots. The result of the experiment showed that the algorithm could complete the path searching rapidly, the efficiency of the algorithm was improved, and the length of . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.