Energy, Compute, and Communication optimized system of dynamic V2X enabled mobile robot swarm for work zone safety

Presenters

Kaleb KeyFollow

Disciplines

Controls and Control Theory | Digital Circuits | Digital Communications and Networking | Electro-Mechanical Systems | Hardware Systems | Power and Energy | Robotics | Systems and Communications

Abstract (300 words maximum)

Battery performance is a critical factor in determining the viability of a robotic system. This becomes increasingly evident in the case of a robotic swarm where success is dependent on robust system performance across several mobile robots. In this paper, we explore different battery optimization approaches for the application of a robotic swarm dictating safety in a work zone/construction environment. With the growing complexity of robotic performance, several systems must be accounted for. Therefore, we consider the characteristics and power draw of motors and a computational platform that additionally operates computer vision tasks, along with the Pure Pursuit tracking algorithm

Academic department under which the project should be listed

SPCEET - Robotics and Mechatronics Engineering

Primary Investigator (PI) Name

Billy Kihei

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Energy, Compute, and Communication optimized system of dynamic V2X enabled mobile robot swarm for work zone safety

Battery performance is a critical factor in determining the viability of a robotic system. This becomes increasingly evident in the case of a robotic swarm where success is dependent on robust system performance across several mobile robots. In this paper, we explore different battery optimization approaches for the application of a robotic swarm dictating safety in a work zone/construction environment. With the growing complexity of robotic performance, several systems must be accounted for. Therefore, we consider the characteristics and power draw of motors and a computational platform that additionally operates computer vision tasks, along with the Pure Pursuit tracking algorithm