Dr. Michael Kaess (Co-Founder) specializes in robot perception, efficient autonomous navigation, mapping and localization. His research has been funded by the Office of Naval Research, National Science Foundation, Army Research Office, DARPA, Department of Energy, and industry and the results broadly adopted. Dr. Kaess received the inaugural Robotics Science and Systems (RSS) Test of Time Award (2020) among several awards at top robotics conferences. He is an Associate Professor in the Robotics Institute at Carnegie Mellon University (CMU) and was a Research Scientist at MIT.

Dr. Joshua Mangelson (Co-Founder) specializes in robotic perception, mapping and localization with a particular focus on marine robotics. He has extensive experience leading marine-robotic field trials. He has received multiple awards for his research including the Brigham Young University (BYU) Presidential Innovation Award (2022) and the Best Multi-Robot Paper Award at the IEEE ICRA conference. Dr. Mangelson is an Assistant Professor at BYU. He received his Ph.D. in Robotics from the University of Michigan and was a Post-Doctoral Fellow at CMU.

Dr. Xiaoyu Kaess (Co-Founder) is a seasoned practitioner in human-centered technology design. She led corporate teams in companies such as Autodesk, UPMC Enterprises, GE and Oracle to bring technology products from concept to launch through strategic research, design, and product roadmaps, creating successful B to B solutions that serve millions of users in diverse industries. She has received multiple career awards for her result-driven and inclusive practices that led to company-wide changes and exemplary customer satisfaction.

Taylor Pool is a roboticist currently finishing his M.S. degree at the Robotics Institute at Carnegie Mellon University. Previously he was an intern at Shield AI and Lawrence Livermore National Labs. His background resides in sensor fusion techniques for state estimation, and control of autonomous drones. Taylor graduated from Brigham Young University in 2022 with a B.S. in Applied and Computational Mathematics. He enjoys pushing the boundaries of robots through discovery and application of practical algorithms.