Litcius/Paper detail

On Inverse Inertia Matrix and Contact-Force Model for Robotic Manipulators at Normal Impacts

Yuquan Wang, Niels Dehio, Abderrahmane Kheddar

2022IEEE Robotics and Automation Letters25 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Inverse dynamicsSylvester's law of inertiaContact forceInertiaStiffnessControl theory (sociology)InverseHaptic technologyRobotMatrix (chemical analysis)Robot manipulatorComputer scienceTorqueSimulationEngineeringMathematicsClassical mechanicsPhysicsStructural engineeringGeometryArtificial intelligenceKinematicsMaterials scienceEigenvalues and eigenvectorsQuantum mechanicsComposite materialThermodynamicsControl (management)Symmetric matrixDynamics and Control of Mechanical SystemsRobotic Locomotion and ControlSports Dynamics and Biomechanics