The role involves developing advanced control algorithms such as impedance control and model predictive control for dexterous hands and robotic arms
Job Summary
The role involves developing advanced control algorithms such as impedance control and model predictive control for dexterous hands and robotic arms.
Candidates will utilize industry-standard simulation tools like Gazebo, MuJoCo, and Isaac Sim to validate and optimize algorithms before real-world deployment.
Johnson Electric seeks a global team member to contribute to innovative motion systems that improve the quality of life through inclusive and diverse collaboration.
Matching Summary
Match Score: 75
The role involves developing advanced control algorithms such as impedance control and model predictive control for dexterous hands and robotic arms.
Skills & Requirements
Must-have
C++ and Python programming
Robot kinematics and dynamics modeling
Impedance/admittance control algorithms
Gazebo MuJoCo Isaac Sim simulation
EtherCAT CANopen fieldbus integration
Linux real-time system development
Nice-to-have
In-hand manipulation experience
Multi-finger coordination skills
UR Franka robot case studies
Flexible assembly project history
Key Requirements
Bachelor's degree in Control or Robotics
3+ years of relevant professional experience
Proficiency in Newton-Euler or Lagrangian dynamics