Supplementary video for the following paper submitted to ICRA 2020: "A Dynamical System Approach for Adaptive Grasping, Navigation and Co-Manipulation with Humanoid Robots". Abstract: In this paper, we present an integrated framework that provides compliant control of an iCub humanoid robot and adaptive reaching, grasping, navigating and co-manipulating. We use state-dependent dynamical systems (DS) to (i) coordinate and drive the robot's hands an object in position and orientation to grasp an object, and (ii) drive the robot's base while walking/navigating. The use of DS as motion generators allows us to adapt smoothly as the object moves and to re-plan on-line motion of arms and body to reach the object's new location. The desired trajectory generated by the DS are used in combination with a whole-body compliant control strategy that absorbs perturbations while walking and offers compliant behaviors for grasping and manipulation tasks. The desired dynamics for arm and body can be learned from demonstrations. By integrating these components we achieve unprecedented adaptive behaviors for whole body manipulation. We showcase this in simulations and real-world experiments where iCub robots (i) walk-to-grasp objects, (ii) follow a human (or another iCub) through interaction and (iii) learn to navigate or co-manipulate an object from human guided demonstrations; whilst being robust to changing targets and perturbations.
Authors: Nadia Figueroa, Salman Faraji, Mikhail Koptev and Aude Billard
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