This paper presents a novel learning feed-forward controller design approach for accurate robotics trajectory tracking. Based on the joint nonlinear dynamics characteristics, a mod...
A new control strategy is presented which visually tracks objects using a manipulator/camera system while simultaneously avoiding kinematic singularities and joint limits by movin...
— Human hands are capable of many dexterous grasping and manipulation tasks. To understand human levels of dexterity and to achieve it with robotic hands, we constructed an anato...
Ashish Deshpande, Jonathan Ko, Dieter Fox, Yoky Ma...
Abstract— This paper presents a novel biologicallyinspired hierarchical approach to organizing and controlling modular robots. The purpose of our approach is to decompose the com...
We develop non-smooth motion controllers that enable redundant manipulators to perform surface tasks, that involve force/torque interactions. The robot joint rates are constrained ...