Charting Courses in 2D and 3D: Motion Planning in Robotics

This talk introduces motion planning in robotics, explaining key concepts, challenges, and various algorithms. Keren Garcia highlights the significance of workspace and configuration space, balancing optimality with computational efficiency. Different algorithms, including graph-based and sampling-based methods, are discussed. Applications in autonomous vehicles and mobile robots are showcased, featuring a robot cleaning a living room. The session wraps up with a Q&A on real-time computations and onboard sensors.