Author: Abu-Dakka Fares J.
ICRA 2023, here we come!
The Intelligent Robotics group will attend to ICRA 2023. Read more!
Exploiting Object Physical Properties for Grasping
In robotic manipulation, robots are required to interact with, and adapt to, unknown environments and objects. In order to successfully accomplish these tasks, robots need to identify various properties of the objects to be handled. For these reasons, identifying object models that can represent the properties of objects has become a crucial issue in robotics. […]
Video on “Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements”
Watch the video demonstration of our latest paper on friction coefficient estimation
Geometry-aware Dynamic Movement Primitives
Robotics Seminar Series. Third Session, Talk 2 – 13th March 2020. Speaker: Fares J. Abu-Dakka.
Accepted papers!!!
Great news!!! Our paper on “Geometry-aware Dynamic Movement Primitives” got accepted in ICRA2020
Learning geometry-based robot-manipulation skills
In many robot control problems, skills such as stiffness, damping and manipulability ellipsoids are naturally represented as symmetric positive definite (SPD) matrices, orientations are represented as unit quaternions, sensory data processed as spatial covariances, etc., which capture the specific geometric characteristics of those skills. Typical learned skill models such as dynamic movement primitives (DMPs), probabilistic […]