Mobile robots have the capability to move around in their environment and are not fixed to one physical location. Mobile robots can be "autonomous" (AMR - autonomous mobile robot) which means they are capable of navigating an uncontrolled environment without the need for physical or electro-mechanical guidance devices. Alternatively, mobile robots can rely on guidance devices that allow them to travel a pre-defined navigation route in relatively controlled space (AGV - autonomous guided vehicle) or operation occurs without direct driver input or pre-configured scripts to control the steering, acceleration, and braking (SDV - Self Driving vehicle).
In this project we present our work on the electrical and hardware design of the mobile robot platform "ReMoRo" that is based on distributed input/output modules. The goal of this project was to develop a low-cost and robust but extensible modular robot platform for research and educational purposes. In this project we proposed a new structure that enables large-scale innovative, new curriculum, multi robot research and multi-robotics outreach to robotics and artificial intelligent students. We introduce the ReMoRo platform which offers a balance between capabilities, accessibility, cost and an open design.
Within an industrial environment, the Remoro utilizes laser-based perception, image processing system and navigation algorithms to dynamically move through facilities, infrastructure-free, pick and place right object. Machine learning capabilities enable the vehicle to become more efficient and accurate as it encounters new situations.
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