Theoretical background in control algorithms.
Theoretical background in forward/inverse kinematics.
Experience with ROS and robotics simulation.
Strong C++ knowledge, basics of Python / bash, basics of git.
Ph.D in a related field, or equivalent experience.
Hands-on experience with gravity and dynamics compensation control laws, force control, impedance control.
Hands-on experience with kinematics algorithms.
Hands-on experience with reinforcement learning in context of motion planning.
Hands on experience with (nonlinear) optimization algorithms and frameworks.
Hands on experience with motion planning for articulated kinematic structures.
Experience in motion planning and control architecture design.
Debugging, unit and integration testing working knowledge.
Centrica
Newfold Digital
Tech And Solve
Manila Recruitment
Bemobi