Personal profile

Biography

Rahul Shome is a tenure track lecturer in the School of Computing at the Australian National University. He is a researcher in Robotics & AI. 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, 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 and chairing at major international robotics conferences and journals, including ICRA, IROS, RSS, RA-L, and others.

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. His future research projects will touch upon core robotics contributions with connections to technical areas including design and analysis of algorithms, stochastic decision making, topology, combinatorics, optimization, machine learning, control theory, sensing and perception, hardware design, and human-robot interactions.

 

 

 

 

Research Interests

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. 

robotics
artificial intelligence