Greater Boston
Dr. Kolling is a principal applied scientist at Amazon Robotics working on autonomous mobility technologies. Previously, Dr. Kolling was a principal robotics scientist and technology lead at iRobot, responsible for technologies related to mapping and planning. His team's contributions were part of multiple iRobot product releases, Clean Map reports, Roomba i7+ and subsequent smart mapping robots. Prior to iRobot, he was an assistant professor at the University of Sheffield and a postdoctoral research fellow at the Robotics Institute at Carnegie Mellon University. His research and technology interests include robot software development, AI and planning, machine learning, multi-robot systems, and human-robot interaction. He has published more than fifty peer-reviewed articles and served as general co-chair for the Symposium on Distributed Autonomous Robotic Systems, associate editor for the International Conference on Robotics and Automation and the International Conference on Intelligent Robots.
Multi-robot systems, Unmanned Aerial Vehicles, Pursuit-Evasion
Conducting research with Prof. Katia Sycara, Robotics Institute, CMU, and Prof. Mike Lewis, School of Information Sciences, University of Pittsburgh, under grants "Modelling Synergies in Large Human-Machine Networked Systems" (MURI funded by AFOSR) and "Cognitively Compliant Command and Control of Multi-Robot Teams" (ONR: Science of Autonomy Grant) in collaboration with researchers from CMU Psychology, MIT, Cornell, George Mason, and BYU. Working on developing and deploying multi-agent systems for real-world search and rescue problems and novel methods for human-robot interaction with large-scale systems. Responsible for all aspects from theory, algorithms, and development. Efforts led to a further research contract of $1.1M to fund a continuation of the research.