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indraneelpatil / bottleneck_guided_rrt

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This project consists of C++ implementations of a 3D Rapidly Exploring Random Tree and three other extensions called RRT*, Execution Extended RRT and Synchronised Greedy Biased RRT. It also includes a heuristically guided RRT* with biased sampling towards relevant bottleneck points predicted by a 3D CNN(modified VoxNet in Tensorflow).

tensorflow cnn motion-planning rrt ros rrt-star bottleneck abb rviz rrtstar
  • Updated Mar 24, 2023
  • C++

AlexSantopaolo / Anytime-asymptotically-optimal-motion-planning-V-REP-

Star 3

University group project concerning the use of an optimal motion planning algorithm to move a mobile that is assigned a navigation task. The optimal motion planning algorithm chosen is the anytime motion planning based on the RRT*, which is a sampling-based algorithm with an asymptotic optimality property. The simulation environment is V-rep.

cplusplus robotics optimal-control v-rep youbot rrtstar
  • Updated Nov 22, 2020
  • C++

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