Distributed Computation and Dynamic Load Balancing in Modular Edge Robotics

Подробнее о видео

As the task complexity that robots can handle increases, the importance of coordination among multiple robots to accomplish a task has grown significantly. Existing research has primarily focused on developing a modular network topology or a communication protocol solely focused on data communication but largely ignoring load-balancing optimizations. We discuss the existing modular robotic architectures, compare them in data and load sharing and propose a new load-balancing protocol. Our load-balancing system is based on having modular robotic clusters that work together by sharing resources through Kubernetes. This system improves reliability through information sharing, shared hardware resources among the robots, and scalability, allowing the architecture to expand based on need.


Bio: Mr. Swarnabha Roy is pursuing his Ph.D. from the Dept. of Electrical and Computer Engineering at Texas A&M University. He received his B.Tech(Hons) in Electronics and Electrical Communication Engineering from IIT Kharagpur in 2018. Before joining his Ph.D., he worked for a year as a Software Development Engineer at OYO Rooms, Gurgaon. He interned at I3D Lab, IISc Bangalore twice in 2017 and 2018. He worked on various projects, including Sensor Fusion in Smart Manufacturing Systems, developing a smart cricket bat sensor using IMU and Optitrack Cameras, and Smart Gesture Controlled car dashboard systems. His research interests lie in multi-robot coordination, embedded systems, and developing algorithms for resource allocation in the cloud and semi-cloud environments.