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We are looking for a Robotics Dynamics & Optimization Engineer to develop optimization and control algorithms for robotic manipulators.
The role focuses on robot dynamics, constrained optimization, and optimization-based control. The engineer will formulate robot performance and motion requirements as optimization problems, and develop methods to improve robot configuration, dynamic capability, actuator utilization, and safe operation under physical constraints.
Key Responsibilities
Develop kinematic and dynamic models for robotic manipulators, including actuator, payload, and external force constraints.
Formulate robot motion and performance problems as constrained optimization problems.
Develop optimization algorithms for robot configuration, trajectory, joint load distribution, and dynamic performance.
Develop optimization-based control methods, such as Whole-Body Control, inverse dynamics control, QP-based control, or MPC.
Analyze robot capability under different payload, velocity, acceleration, and actuator constraints.
Develop constraint-handling methods to ensure safe operation near joint, torque, and actuator limits.
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Implement and validate algorithms in simulation and on real robotic systems.
Master's degree or above in Robotics, Control, Mechanical Engineering, Automation, or related fields.
Strong knowledge of robot kinematics and rigid-body dynamics.
Strong background in constrained optimization and numerical optimization.
Experience with Whole-Body Control, trajectory optimization, MPC, inverse dynamics, or related optimization-based robotics methods.
Good understanding of joint torque, velocity, acceleration, payload, and actuator constraints.
Proficiency in C++ and/or Python, with experience using robotics or optimization libraries such as Pinocchio, CasADi, Drake, Crocoddyl, or equivalent tools.
Experience implementing and validating robot algorithms in simulation or on real robotic platforms.
