Robotics Algorithms · Full-time
Robot Force-Controlled Assembly Engineer
- Compensation
- Compensation negotiable
- Location
- Beijing
- Experience
- 3–5 years
- Education
- Master’s degree or above
Responsibilities
- Develop force/torque-feedback algorithms for peg-in-hole, insertion, press-fitting, fastening, and snap-fit assembly.
- Implement admittance, impedance, hybrid force-position, and coordinated force-pose control for stable, compliant contact and error correction.
- Fuse six-axis force, joint torque, vision, and tactile signals to recognize collisions, jamming, misalignment, alignment, and successful insertion.
- Deploy on robot arms, grippers, or assembly tools; integrate systems, tune parameters, evaluate experiments, and optimize performance.
Requirements
- Master’s degree or above in robotics, automation, control, mechatronics, computer science, or AI.
- Understand robot kinematics, dynamics, trajectory planning, and at least one force or compliant control method.
- Strong Python or C++, algorithm implementation, experimental design, system integration, and engineering skills.
- Real-robot manipulation or industrial assembly experience, with independent troubleshooting capability.
- Long-term interest in fine manipulation, tactile sensing, and embodied AI.
Nice to have
- Experience with connector insertion, screw fastening, press-fit, snap-fit, or flexible assembly.
- Experience with six-axis force/torque, tactile sensing, end-effector force control, or contact perception.
- Real deployment experience involving communication, calibration, real-time constraints, control frequency, and protective measures.
- Achievements in robotics, automation, or AI competitions, or publications in manipulation, force control, or assembly.