Maurice Lamb is a Senior Lecturer and researcher with nine years’ experience at the intersection of cognitive science, robotics, and human-computer interaction, currently based in Skövde, Sweden. He designs cooperative dynamical algorithms and builds practical HRI tools that bridge virtual and physical environments, translating motion-capture and VR insights into robot controllers and interactive prototypes. His background includes securing and managing NSF funding, leading interdisciplinary teams, and developing ROS packages for Kinova arms—adding 7-DOF forward kinematics and torque-control services to production drivers. Trained as a philosopher (PhD), Maurice combines rigorous conceptual thinking with hands-on engineering and teaching, uniquely enabling communication across clinicians, designers, and engineers to produce data-driven interventions and rapid prototyping capabilities.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Philosophy, Doctor of Philosophy (Ph.D.), Philosophy at University of Cincinnati
Master’s Degree, Philosphy, Master’s Degree, Philosphy at Ohio University
Contributions:108 commits, 1 PR, 15 pushes in 4 months
Contributions summary:Maurice primarily contributed to the development of ROS packages for the Jaco2 and Mico robotic arms. Their work involved significant modifications to existing code, including the addition of forward kinematics support for a 7-DOF robot. They made changes to core files such as `kinova_driver/src/kinova_ros_types.cpp` and `kinova_driver/src/kinova_arm.cpp`, and implemented new API functions. Additionally, they introduced a service for managing torque control parameters.
roboticsros2slam-algorithmsros-packagesros
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Maurice Lamb - Senior Lecturer at University of Skövde