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Motion_planning_and_control_demos

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In this Repo, we practice the classical motion planning and control algorithm mainly in C++, (partially in Python).

This repo is for experienced engineers or researchers who already understood

  • Search-based Planning (BFS, DFS)
  • Sampling-based Planning
  • Optimization-based Planning

But have been interested in the implementation of them in C++.

Different data structures will be investigated

Different algorithms setup will be investigated

regarding to time complexity and space complexity.

A Star

result

What condition can Guarantee the Optimality of the path found by A Star?

  • Estimated cost to the destination by Heuristic function is less than or equal to the Actual cost to the destination

Hybrid A Star

RRT

Dynamic RRT

Model Predictive Planner

A Project (CARLA)

Watch the video

Contributors:

  • Yu Zheng (ZYblend)
  • Naveen Kumar Rajarajan (Naveenkumarar)

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