Motion planning for legged robots is a challenging problem and remains an open area of research. Particular difficulties arise from effective underactuation, the mechanism complexity, as well as nonlinear and hybrid dynamics.A common approach is to decompose this problem into smaller sub-problems th…

Application of Inverse Kinematics(IK) prediction is on multi-folds from robotics, computer graphics, and video games, while recently being used in protein chain prediction and rehabilitation physiology. Although there are multiple methods to solve and predict IK, they are very less likely to generat…

Im Rahmen des Projektes ROBDEKON wird ein Schreitbagger modifiziert, sodass dieser autonom, teilautonom und teleoperiert eingesetzt werden kann. Neben dem eigentlichen Einsatzszenario, dem Rückbau von Deponien, ist ein Testszenario geplant. In diesem Testszenario arbeiten Bagger und Personen in eine…

Für die Erkundung von tiefen Gewässern gewannen Autonome Unterwasser Fahrzeuge (AUV’s) durch die Fortschritte der Forschung an autonomen Systemen in den letzten Jahrzehnten zunehmende Bedeutung. Sie werden zu Standardwerkzeugen in unterschiedlichen Anwendungsbereichen wie Umweltvermessung, Geologie,…

In order to further close the gap between robots and their natural counterparts, current research is driving towards exploiting the natural dynamics of robots. This requires a rethinking about the way we control robots for moving in a more dynamic, efficient and natural way. Dynamic bipedal locomoti…

In order to increase accuracy and robustness of their state and pose estimations, autonomous underwater vehicules (AUV) use a growing number of sensors. All these sensors must be calibrated before being used. This calibration step is essential in order to receive the most reliable data possible: Wit…

Autonomous Underwater Vehicles (AUVs) have developed over the last decades into one of the most important technological research platforms for marine/ocean exploration. Increased advancements in this area have lead to more robust, precise and intelligent hardware and software solutions which AUVs ca…

Reconfigurable robots can physically merge to create dynamic robotic systems, leading to additional degrees of freedom. Temporal Planning for Reconfigurable Multi-Robot Systems (TemPl) is a constrained-based mission planner for reconfigurable multi-robot systems which introduces a mission descriptio…

Das Projekt EurEx-SiLaNa (EurEx - Sichere Langzeitnavigation) des Deutschen Forschungszentrums für künstliche Intelligenz (DFKI) und des Deutschen Zentrums für Luft- und Raumfahrt (DLR) befasst sich mit der Erhöhung der Einsatzdauer autonomer Unterwasserfahrzeuge (engl. autonomus underwater vehicle …

Deep Reinforcement Learning (DRL) connects the classic Reinforcement Learning algorithms with Convolutional Neural Networks (CNN). A problem in DRL is that CNNs are black-boxes and it is not easy to understand the decision-making process of agents. In order to be able to use the programs in highly d…