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Implementation of Sampling Based Motion Planning Algorithms for a 5 DoF planar arm In C++

Implementation of Sampling Based Motion Planning Algorithms as HW2 solution of for course 16-782 Planning and Decision-making in Robotics at CMU:

  • RRT
  • RRT*
  • RRT-Connect
  • PRM for a planar, 5 DoF arm

HW assignment available here
Will be making this agnostic to state space soon!

How to run

Results.

Each planner was run with random start and goal configurations (found in random_samples.txt (odd lines were chosen as start, even as end config of joint angles).

Path quality is euclidean difference between each "waypoint" in joint space

Planner Mean No of Samples Mean planning time Mean path quality
RRT 1107.750000 0.027118 5.748375
RRT-Connect 680.700000 0.007917 5.603374
RRT-Star 3202.700000 0.319238 6.384765

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