Advances in Robot Perception and Communication Towards Networked Autonomy
Date : 29/05/2024
Abstract:
Networked autonomy aspires to build a team of robots that can seamlessly perceive, communicate, and interact with humans and the environment. A robot perception system needs to build an actionable 3D scene representation in real-time that is scalable for long-horizon networked autonomy, and also implement mechanisms that can tackle failures due to changing environmental conditions. Operating in constantly changing environments, networked autonomous systems need to exchange time-sensitive information to ensure situational awareness and safety.
Bio:
Rajat Talak is a Research Scientist in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT). Prior to this, he was a Postdoctoral Associate in the Department of Aeronautics and Astronautics, at MIT, from 2020-2022. He received his Ph.D. from the Laboratory of Information and Decision Systems at MIT, in 2020. He holds a Master of Science degree from the Dept. of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India, and a B.Tech from the Dept. of Electronics and Communication Engineering, National Institute of Technology -Surathkal, India. He is the recipient of the ACM MobiHoc 2018 Best Paper Award and Gold medal for his MSc thesis from the Indian Institute of Science.