In person location: EE Conference Room (Mudd 1300)
Speaker: Matthew Andrews, Head, Modeling and Optimization Group, Bell Labs AI Research Lab
Title: Talking to robots and drones: Network requirements for autonomous agents in factories and warehouses of the future
Future factories and warehouses will contain fleets of autonomous agents to assist with monitoring and control. In this talk we will describe a variety of machine learning problems that arise in such a setting. These include robot navigation, localization and multi-agent coordination, as well as the construction of an analytics pipeline to understand the images streamed from an indoor drone. A common thread in all these problems is the utilization of cloud robotics, where most of the intelligence is migrated from the agents themselves to an edge cloud. In this environment the quality of the network is critical for effective operation. We will discuss the network performance required to support such systems, and also describe some concrete deployments that support indoor farming and warehouse inventory management.
Matthew Andrews leads the Modeling and Optimization Group in the Bell Labs AI Research Lab. His current research interests include image and video processing for industrial monitoring, machine learning for robot navigation and collision avoidance, and efficient algorithms for wireless scheduling and beam management. He received his degrees from Oxford University (BA, math) and MIT (PhD, Applied Math), and he is an IEEE and Bell Labs Fellow.