Task and Joint Space Dual-Arm Compliant Control

Robots that interact with humans or perform delicate manipulation tasks must exhibit compliance. However, most commercial manipulators are rigid and suffer from significant friction, limiting end-effector tracking accuracy in torque-controlled modes. To address this, we present a real-time, open-source impedance controller that smoothly interpolates between joint-space and task-space compliance. This hybrid approach ensures safe interaction and precise task execution, such as sub-centimetre pin insertions. We deploy our controller on Frank, a dual-arm platform with two Kinova Gen3 arms, and compensate for modelled friction dynamics using a model-free observer. The system is real-time capable and integrates with standard ROS tools like MoveIt!. It also supports high-frequency trajectory streaming, enabling closed-loop execution of trajectories generated by learning-based methods, optimal control, or teleoperation. Our results demonstrate robust tracking and compliant behaviour even under high-friction conditions. The complete system is available open-source atthis https URL.

@article{mitchell2025_2504.21159,
  title={ Task and Joint Space Dual-Arm Compliant Control },
  author={ Alexander L. Mitchell and Tobit Flatscher and Ingmar Posner },
  journal={arXiv preprint arXiv:2504.21159},
  year={ 2025 }
}