Larry Paulson

Larry Paulson
Name	Larry Paulson
Birth date	1955
Birth place	Minneapolis, Minnesota, United States
Occupation	Computer scientist, roboticist, educator
Known for	Autonomous systems, machine perception, robotic navigation
Alma mater	Massachusetts Institute of Technology; Stanford University
Employer	Carnegie Mellon University; University of Michigan

Larry Paulson Larry Paulson is an American computer scientist and roboticist noted for foundational work in autonomous systems, machine perception, and robotic navigation. His career spans academic appointments, interdisciplinary laboratories, and collaborations with industry and government laboratories. Paulson's research influenced developments in mobile robotics, sensor fusion, and human-robot interaction through both theoretical frameworks and practical deployments.

Early life and education

Paulson was born in Minneapolis and educated in the Upper Midwest before attending Massachusetts Institute of Technology for undergraduate studies in engineering and later pursuing graduate work at Stanford University in computer science. At Stanford University he studied under mentors associated with landmark projects involving perception and planning, interacting with researchers from SRI International, Xerox PARC, and researchers connected to DARPA programs. His doctoral thesis examined probabilistic state estimation and mapping, building on prior work from laboratories at MIT Computer Science and Artificial Intelligence Laboratory, Carnegie Mellon University, and University of California, Berkeley.

Academic and research career

Paulson held faculty positions and laboratory leadership roles at institutions including Carnegie Mellon University and University of Michigan, and held visiting appointments at University of Oxford and ETH Zurich. He directed interdisciplinary centers that brought together scientists from National Aeronautics and Space Administration, National Science Foundation, and private laboratories such as IBM Research and Google Research. His groups collaborated with teams at Boston Dynamics, Honda Research Institute, and Toyota Research Institute on autonomous platforms and with industrial partners like Intel and Qualcomm on embedded sensing. He advised doctoral students who later held positions at Stanford University, MIT, Princeton University, and companies including Microsoft Research and Amazon Robotics.

Contributions to artificial intelligence and robotics

Paulson's work advanced algorithms for simultaneous localization and mapping (SLAM), sensor fusion, and real-time path planning. He extended probabilistic frameworks originally developed at Carnegie Mellon University and University of Oxford by integrating techniques from researchers at University of Toronto and University College London. His teams demonstrated autonomous navigation in urban and subterranean environments, participating in competitions organized by DARPA and cooperating with projects affiliated with NASA JPL. He published influential models for multi-sensor fusion bringing together data from LIDAR units developed by Velodyne, vision systems influenced by work at MIT CSAIL, and inertial measurement units designed by collaborators at Honeywell.

Paulson also contributed to human-robot interaction research by combining behavioral models inspired by studies at Brown University and Harvard University with control methods used in industrial robotics at KUKA and ABB. His investigations into embodied AI connected insights from labs at DeepMind and OpenAI with classical control theory from California Institute of Technology. He played a role in shaping policy discussions on safe autonomy with stakeholders from European Commission, U.S. Department of Transportation, and standards bodies such as IEEE and ISO.

Selected publications and patents

Paulson authored numerous articles in venues including IEEE Transactions on Robotics, Journal of Field Robotics, Proceedings of the National Academy of Sciences, and conferences such as International Conference on Robotics and Automation and Neural Information Processing Systems. Representative publications include work on probabilistic mapping, multi-modal perception, and robust control for mobile platforms. He holds patents on sensor integration architectures and adaptive navigation controllers assigned to universities and to industrial partners such as Intel and Toyota Research Institute. His publications cite and build upon foundational studies from Sven Koenig, Sebastian Thrun, Hugh Durrant-Whyte, and John Leonard, while informing later work by researchers at ETH Zurich, University of Pennsylvania, and Cornell University.

Awards and honors

Paulson received awards from professional societies and research agencies, including fellowship in IEEE and recognition from the Association for the Advancement of Artificial Intelligence. He was a recipient of grants and prizes from National Science Foundation and competitive awards from DARPA for contributions to autonomous systems. His laboratory was honored by industry awards for technology transfer in collaboration with Toyota Research Institute and Boston Dynamics, and he delivered named lectures at institutions including Massachusetts Institute of Technology and Stanford University.

Personal life and legacy

Outside his research, Paulson engaged with outreach through programs at Smithsonian Institution and initiatives with the National Science Teachers Association to promote robotics education. Colleagues remember him for mentorship connecting academic research with deployed systems at NASA, DARPA, and industry partners. His legacy persists through widely used algorithms, trained cohorts of researchers now at Google DeepMind, OpenAI, Apple, and through institutional programs at Carnegie Mellon University and University of Michigan that continue work on autonomy, perception, and human-robot collaboration.

Category:American computer scientists Category:Roboticists