A new optimization framework for robot motion planning : vim

MIT CSAIL introduces a novel framework, Graphs of Convex Sets (GCS), for efficient and reliable motion planning in robotics, addressing the challenges of navigating through complex, high-dimensional spaces with obstacles.

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Pablo Parrilo , Tobia Marcucci , Jack Umenberger , Davidms Johnson , Russ Tedrake , Mark Petersen , Society For Industrial , Engineering Graduate Fellowship Program , Office Of Naval Research , National Science Foundation , Artificial Intelligence Laboratory , Department Of Defense National Science , Convex Sets , Google Maps , Science Robotics , Applied Mathematic , National Defense Science , Mit Csail , Raphs Of Convex Sets Gcs , Otion Planning In Robotics , Convex Optimization , Ampling Based Planners , Onconvex Problems , Igh Dimensional Spaces , Ifferential Constraints , Inodynamic Constraints , Avid Von Wrangel ,