James Bellingham

James G. Bellingham is an American roboticist and ocean engineer who is the Bloomberg Distinguished Professor of Exploration Robotics at Johns Hopkins University, with joint appointments in the Department of Mechanical Engineering in the Whiting School of Engineering and the Research, Engineering, and Development Department of the Applied Physics Laboratory. He is executive director of the Johns Hopkins Institute for Assured Autonomy. He is also a member of the Data Science and AI Institute, where he serves as Director of Research, Safety and Assurance. He is known for the development of autonomous underwater vehicles (AUVs) and has led numerous scientific expeditions utilizing robotic systems for ocean exploration. His first peer-reviewed paper was in astronomy, and he worked on superconducting physics for his Ph.D. Upon graduating, Bellingham shifted his focus to underwater robotics.

Career Following his doctoral work, Bellingham joined the MIT Sea Grant program. Bellingham founded the Autonomous Underwater Vehicles Laboratory, During this time, he was also a lecturer in MIT's ocean engineering department.

For the latter half of the 1990s, Bellingham was the Principal Investigator of the original Autonomous Ocean Sampling Network (AOSN) Multidisciplinary University Research Initiative (MURI), which used fleets of small AUVs to create a large sampling network to observe and predict ocean processes.

In 1997, Bellingham co-founded Bluefin Robotics, an American robotics company that specializes in the design and manufacture of military and civilian AUVs. His team participated in AUV observations in the Gulf of Mexico following the Deepwater Horizon oil spill, using autonomous vehicles to map the extent and behavior of subsurface oil plumes.

In 2014, he moved to the Woods Hole Oceanographic Institution (WHOI), where he served as the founding director of the Consortium for Marine Robotics. Bellingham also led the development of an Arctic version of the Long-Range AUV initiative focused on oil-spill response for remote locations.

In 2021, Bellingham joined Johns Hopkins University as a Bloomberg Distinguished Professor. Bellingham holds appointments in the Department of Mechanical Engineering in the Whiting School of Engineering and the Research, Engineering, and Development Department of the Applied Physics Laboratory. His research group has developed methods for coordinating multiple autonomous vehicles to efficiently sample oceanographic features across a range of spatial and temporal scales. Bellingham led the development of long endurance systems designed to allow observations of marine algal blooms from "boom to bust." These systems have been used for observations of algal blooms along the California coast.

Bellingham is also interested in the ethical dimensions of autonomous systems and fostering responsible development and deployment.

Bellingham has served on numerous scientific advisory boards, including Science Robotics, the Naval Studies Board, the Secretary of the Navy Advisory Panel, and numerous National Academy of Sciences studies. He received the Lockheed Martin Award for Ocean Science and Engineering from the Marine Technology Society in 2004. He has also received the Navy Superior Public Service Award.

Selected publications Bellingham is the author of How are Marine Robots Shaping Our Future? Published in 2025, the book discusses undersea exploration and the role autonomous robots play in corporate and governmental aquaculture management, climate data, energy source locations, and shipwreck explorations.

Selected peer-reviewed publications

2021 with Y Zhang, J Ryan, B Hobson, B Kieft, A Romano, B Barone, C M Preston, B Roman, B Y Raanan, D Pargett, and M Dugenne, A system of coordinated autonomous robots for Lagrangian studies of microbes in the oceanic deep chlorophyll maximum, in: Science Robotics. Vol. 6, nº 50. 2018 with B Y Raanan, J Bellingham, Y Zhang, M Kemp, B Kieft, H Singh, and Y Girdhar, Detection of unanticipated faults for autonomous underwater vehicles using online topic models, in: Journal of Field Robotics. Vol 35, nº 5. 2018 with G Z Yang, P E Dupont, P Fischer, L Floridi, R Full, N Jacobstein, V Kumar, M McNutt, R Merrifield, B J Nelson, B Scassellati, M Taddeo, R Taylor, M Veloso, Z L Wang, and R Wood, The Grand Challenges of Science Robotics, in: Science Robotics. Vol. 2, nº 14. 1993 with T B Curtin, J Catipovic, D Webb, Autonomous Oceanographic Sampling Networks, in: Oceanography. Vol. 6, nº 3; 86–94. 2007 with K Rajan, Robotics in Remote and Hostile Environments, in: Science. Vol. 318, nº 5853; 1098–1102.