An Autonomous Mobile Robot (AMR) is a robot that can understand and move through its environment without being overseen directly by an operator or on a fixed predetermined path. AMRs have an array of sophisticated sensors that enable them to understand and interpret their environment, which helps them to perform their task in the most efficient manner and optimum path, navigating around fixed obstructions (building, racks, work stations, etc.) and various potential obstructions (such as people, lift trucks, and debris).
The Mechatronics, Robotics and Embedded Systems Track is moving forward to develop its own Autonomous Mobile Robot (AMR) platform to support the new and existing courses related to Robotics & Control. It is expected that this proposed Autonomous Mobile Robot platform can be used as a teaching platform for the following topics: state estimation (Bayes filtering, probabilistic motion and sensor models), control (Feedback, Lyapunov, LQR, MPC), planning (roadmaps, heuristic search, incremental densification)