Towards Human-Robot Collaboration with Parallel Robots by Kinetostatic Analysis, Impedance Control and Contact Detection
Aran Mohammad, Moritz Schappler, Tobias Ortmaier

TL;DR
This paper explores contact detection and impedance control in parallel robots for human-robot collaboration, using advanced observers and force estimation techniques validated through experiments to enhance safety and responsiveness.
Contribution
It introduces a novel contact detection approach using disturbance observers and Kalman filters, along with a new motor torque identification method for parallel robots.
Findings
Effective contact detection within 9-58ms at high speeds
Impedance control with stiffness up to 2N/mm demonstrated
Improved external force estimation using gearless drives and model-based methods
Abstract
Parallel robots provide the potential to be leveraged for human-robot collaboration (HRC) due to low collision energies even at high speeds resulting from their reduced moving masses. However, the risk of unintended contact with the leg chains increases compared to the structure of serial robots. As a first step towards HRC, contact cases on the whole parallel robot structure are investigated and a disturbance observer based on generalized momenta and measurements of motor current is applied. In addition, a Kalman filter and a second-order sliding-mode observer based on generalized momenta are compared in terms of error and detection time. Gearless direct drives with low friction improve external force estimation and enable low impedance. The experimental validation is performed with two force-torque sensors and a kinetostatic model. This allows a new identification method of the motor…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
