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Martin received his PhD at King’s College London under supervision by Prof. Christos Bergeles and Prof. Tom Vercauteren. During his PhD, he interned with Johnson & Johnson and contributed limit-free kinematics to production and accelerated singularity search by 1000x, developed GPU accelerated kinematics, improved test coverage, fixed bugs, and wrote the URDF specification for the Monarch platform (now used in Isaac Sim). His research interests include the development of spatially intelligent surgical robots for improved safety and autonomous behaviours. There, he is most known for open-source contributions, such as the lbr_fri_ros2_stack and roboreg. In his freetime, Martin enjoys running and learning new languages.