Organizers

Kalvik Jakkala (primary point of contact)

Postdoctoral researcher, Texas A&M University

Bio: Postdoctoral researcher at Texas A&M specializing in machine learning and marine robotics, with publications in ICRA, RA-L, and IJRR. An early-career scholar bringing both academic expertise and industry research experience.

Jason O’Kane

Professor, Texas A&M University

Website: https://jokane.net/

Bio: Professor at Texas A&M, expert in robot autonomy with 100+ publications and major awards. Has co-organized workshops at RSS and CASE, and served as Co-Chair for WAFR 2022 & 2024.

Yogesh Girdhar

Associate Scientist With Tenure, Woods Hole Oceanographic Institution

Website: https://warp.whoi.edu

Bio: Associate Scientist at Woods Hole Oceanographic Institution, specializing in marine robotics and its application to marine ecosystem understanding. Co-organizer of the RUNE Workshop at ICRA 2024, which brought together experts in robotics and ecology.

Alberto Quattrini Li

Associate Professor, Dartmouth College

Website: https://rlab.cs.dartmouth.edu/albertoq/

Bio: Associate Professor at Dartmouth, specializing in marine robotics and multi-robot exploration. Co-organizer of workshops at RSS 2019, ICRA 2021, and ICRA 2025 Robots in the Wild, with additional leadership roles across major robotics conferences.

Monika Roznere

Assistant Professor, Binghamton University

Website: https://www.monikaroznere.com/

Bio: Assistant Professor at Binghamton University, advancing low-cost marine robotics perception. Co-Chair for RAS TC for Marine Robotics, co-organizer of the ICRA 2025 Robots in the Wild Workshop, active in community and STEM inclusion programs.

Marios Xanthidis

Research Scientist, SINTEF Ocean

Website: https://www.sintef.no/en/all-employees/employee/marios.xanthidis/

Bio: Research Scientist at SINTEF Ocean, specializing in autonomous underwater robotics, motion planning, and real-time autonomy. Associate Editor for ICRA, he leads projects like EchoNav and collaborates globally with academic and industry partners.

Edwin Meriaux

Phd Student, University of McGill

Website: linkedin.com/in/edwin-meriaux

Bio: PhD student at McGill and Université Paris-Saclay CentraleSupélec, researching multi-agent system deployment in GPS-denied environments across aquatic and aerial domains under the supervision of Professor Gregory Dudek and Dr. Antonio Loria.

Steve Wen

MSc Student, University of McGill

Website: linkedin.com/in/shuowen

Bio: Master’s student in Computer Science at McGill University, researching Generative Reinforcement Learning for robotic control under the supervision of Professors Gregory Dudek and Doina Precup.

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