GCS Motion Planning Interactive

Convex hull property ensures safety if points stay in sets. The Perspective Trick: GCS solves for a "flow" value λ. GCS Motion Planning Interactive lets you explore this hands-on instead of only reading about it.

Practical demonstrations of GCS applied to UAVs, robotic arms, and walking robots. It focuses on Dynamic Feasibility, UAV Navigation, Manipulator Planning, Footstep Planning from the “Applications and Performance in Robotics” section.

You can drag elements directly on the canvas; the “Reset Control Points” button run actions or reset the demo. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.

This course explores the Graphs of Convex Sets (GCS) framework, a revolutionary approach to motion planning that unifies discrete graph search with continuous trajectory optimization. It addresses the fundamental challe… This demo is the interactive piece for the “Applications and Performance in Robotics” section. Open the full Motion Planning with Graphs of Convex Sets course wiki at https://www.getlykke.com/explore/public/motion-planning-with-graphs-of-convex-9ef465dc-e6a7-499a-91ea-ab90b928956f for notes, flashcards, quizzes and the other demos.

You'll build intuition for Dynamic Feasibility, UAV Navigation, Manipulator Planning, Footstep Planning — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on Motion Planning with Graphs of Convex Sets alone.