Rahul Shome

Rahul Shome is a tenure track lecturer in the School of Computing at the Australian National University. His research primarily focuses on effective planning algorithms that robots can use for intelligent problem-solving in human-centric environments. His focus is to design solutions to real-world robotics problems with practical performance, theoretical guarantees, that address human-centric objectives. He has experience in a broad set of cutting-edge robotics domains – multi-robot planning, multi-robot object rearrangement problems, task and motion planning, manipulation, and sampling-based planning algorithms. He has engaged in widely recognized work on these problems.

He has worked with Prof. Lydia E. Kavraki as a postdoctoral research associate and Fellow of the Rice Academy at Rice University. He earned his Ph.D. and M.S. degrees at Rutgers University, advised by Prof. Kostas E. Bekris. He has published a chapter in the Encyclopedia of Robotics, has been invited to contribute to the Foundations and Trends in Robotics, multiple peer-reviewed journal articles, and refereed international AI and robotics conference publications. His publications have garnered a best paper award at IEEE MRS and a nomination for best paper in automation award at IEEE ICRA among other recognitions. He has served on the organizing, chairing, and reviewer boards of major international robotics conferences and journals. He currently serves as an Associate Editor of the IEEE Robotics and Automation Letters journal.

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