Ulrich Viereck

Papers

Total Citations

102

H-Index

About

Ulrich Viereck is a robotics researcher whose work spans two compelling domains: robotic manipulation and rehabilitation engineering. His most recognized contribution lies in the field of robot learning and grasping, where his 2017 paper on visuomotor controllers for real-world robotic grasping — accumulating 100 citations — demonstrated how simulated depth images could be leveraged to train robots capable of handling unpredictable object motion in unstructured environments like the home. This work addresses one of robotics' most persistent challenges: bridging the gap between controlled laboratory conditions and the messy complexity of real-world deployment. Viereck has also explored the intersection of robotics and healthcare, investigating how multipurpose robotic arms can be repurposed for gait rehabilitation, offering a cost-effective and versatile alternative to dedicated rehabilitation hardware. This cross-disciplinary perspective — applying intelligent robotic systems both to manipulation tasks and human therapeutic needs — distinguishes his research profile. While still building his citation record, Viereck's contributions to sim-to-real transfer learning and assistive robotics position him as a thoughtful contributor to the broader effort of making robots genuinely useful to people.