BeetleBot: A Multi-Purpose AI-Driven Mobile Robot for

Realistic Environments

Anh Nguyen, Erman Tjiputra, Quang D. Tran

Abstract:

We present BeetleBot, a new mobile robot that has been developed to operate in realistic environments. Different from previous state-of-the-art mobile robots, BeetleBot is designed based on the most recent advancements of actuator, mechanical design, and artificial intelligence which allow the robot to have powerful features including ultra-mobility, accurate localization, intensive AI ecosystem, and autonomous navigation in normal as well as complex and rough terrain environments. Based on these features, BeetleBot can be used in a variety of tasks including but not limited to autonomous delivery, exploration and surveillance, or human-robot interaction. Besides the development of the robot, we also build large-scale open-source simulation models that are fully integrated with ROS and can be used for rapidly testing and deployment of any robots. Finally, we show the capability of BeetleBot and the performance of each individual AI module in various tasks and real-world scenarios.

Related Publications:

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