2023
Learning a dexterous policy for a biomimetic tendon-driven hand with rolling contact joints
Presented at the 2023 IEEE-RAS Humanoid Robots Conference, this paper demonstrates a biomimetic tendon-driven robotic hand capable of dexterous in-hand manipulation. Using reinforcement learning (RL) and a high-DoF design, the system successfully performs a complex task—rotating a sphere in-hand. This research marks a minor breakthrough in RL-based dexterous manipulation.
Vision Controlled Jetting for Systems and Robots was published on Nature
Our work on Vision Controlled Jetting was published online today on Nature. We can finally 3D print complex multimaterial robots that are fully functional without assembly. We present in the journal Nature our contactless method of multimaterial 3D inkjet printing that makes these robots possible. We created a robotic hand derived from a human hand scan, a pneumatic robotic walker, and a heart-like pump.
Autonomous Marker-Less Rapid Aerial Grasping
We introduce an autonomous system for rapid aerial grasping using drones, relying solely on vision-based object localization. The system successfully detects and grasps objects with a 94.5% success rate, advancing aerial robotic manipulation towards practical applications in real-world settings such as warehouses and search-and-rescue operations. We present the work at the robotics conference IROS 2023.
Prof. Robert Katzschmann's interview on WELT on AI and Robotics
"Schüler werden nur noch Stichworte eintippen – und die KI schreibt den Aufsatz“ (“Students will only type in keywords – and the AI will write the essay”).
Talk by Wojciech Matusik
Can Computers Beat Humans at Design?