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MULTICHAIN BUILDERS Β· AI Β· BLOCKCHAIN Β· ROBOTICS
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Robotics
Robotics path Β· course 19 of 47

Motion Planning & Trajectory Optimization

Advanced Β· 5 lessons Β· 0 complete

This course covers how robots decide on the actual path and timing of their motion, from geometric path planning through sampling-based and optimization-based planners to smooth, replannable trajectories. It's part 3 of the Robot Control & Dynamics track, building on dynamics and PID control by tackling a different problem: generating the motion a controller is then asked to track. Best suited for learners comfortable with basic control concepts who want to understand how the reference trajectory itself gets built.

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