Manipulation

Sample based-optimisation-based planner with signed distance fields cost map

Rapidly-exploring random trees (RRT) and their variant are a very power solution for solving motion planning problem in robotics, but they suffer from finding an optimise solution and the generated path is usually jerky with redundant movements. Sample based-optimisation-based planners benefit the robustness of RRT and the possibility of imposing a cost function. Here in this work, I …

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Manipulability Map

It often happens that you are interested to know in which area you robot has high manipulability and in which area it has low manipulability. There are several approaches for that. In this work, I implemented the Yoshikawa manipulability index. I discretized the joint space for each joint, then I compute the manipulability index and dump all …

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