On Inverse Inertia Matrix and Contact-Force Model for Robotic Manipulators at Normal Impacts
Wang, Yuquan, Dehio, Niels, Kheddar, Abderrahmane
–arXiv.org Artificial Intelligence
State-of-the-art impact dynamics models either apply for free-flying objects or do not account that a robotic manipulator is commonly high-stiffness controlled. Thus, we lack tailor-made models for manipulators mounted on a fixed base. Focusing on orthogonal point-to-surface impacts (no tangential velocities), we revisit two main elements of an impact dynamics model: the contact-force model and the inverse inertia matrix. We collect contact-force measurements by impacting a 7 DOF Panda robot against a sensorized rigid environment with various joint configurations and velocities. Evaluating the measurements from 150 trials, the best model-to-data matching suggests a viscoelastic contact-force model and computing the inverse inertia matrix assuming the robot is a composite-rigid body.
arXiv.org Artificial Intelligence
Feb-11-2022
- Country:
- Asia > Japan
- Honshū > Kantō > Ibaraki Prefecture > Tsukuba (0.04)
- Europe
- France > Occitanie
- Hérault > Montpellier (0.04)
- Germany > Baden-Württemberg
- Freiburg (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- France > Occitanie
- Asia > Japan
- Genre:
- Research Report > New Finding (0.47)
- Technology:
- Information Technology > Artificial Intelligence > Robots > Manipulation (0.60)