Mathematical optimization has turned out to be a very powerful tool in robotics. The robotics community is increasingly subscribing to the paradigm of treating every robot task as a constrained optimization problem. This becomes especially important when we want to achieve dynamic control of robots …
Behavior learning is a promising alternative to planning and control for behavior generation in robotics. The field is becoming more and more popular in applications where modeling the environment and the robot is cumbersome, difficult, or maybe even impossible.Learning behaviors for real robots tha…
We humans can remember a face after only seeing it once, we can also grasp and identify an object we have never interacted with before. We perform those motor-perceptual tasks with a limited amount of information and experience. In an opposite manner to our capabilities, the current state-of-the-art…
Autonomous Underwater Vehicles (AUV)s are robotic systems designed as an alternative to manned submerged vehicles, to carry out specific and well-defined underwater tasks. As part of their development process, modeling the hydrodynamic behaviour of these vehicle is a crucial step for analysing their…
von: Dr. Florian Cordes, Christoph Stoeffler, Bingbin Yu
(DFKI GmbH)
At this Brown Bag Talk the responsible project leaders will give you a short overview and status report on the following new projects:
NFDI4ING (Dr. Florian Cordes) PED (Christoph Stöffler)DeepHand (Bingbin Yu)
Robotic systems are not only becoming increasingly complex, but so are the environments for which they are being built. While this poses various challenges for hardware design, the greater difficulties lie in devising appropriate control structures to move robots in these environments and creating a…
