Dominik Sieber
Papers
7
Total Citations
256
H-Index
6
About
Dominik Sieber is a leading researcher in multi-robot cooperative manipulation, with a career focused on enabling teams of robots to work together—and with humans—to handle complex physical tasks. His core contributions lie in developing formation-based control architectures that allow multiple manipulators to collaboratively transport objects while maintaining precise coordination and avoiding stress on the payload. Sieber’s most influential work, “An impedance-based control architecture for multi-robot cooperative dual-arm mobile manipulation” (92 citations), established foundational methods for coordinating robotic teams with complementary sensing and actuation. He has also pioneered human-guided multi-robot systems, as shown in his 2018 paper (53 citations), which maps human input to team motion through formation control. His work on Dynamic Movement Primitives for synchronized motions (34 citations) and risk-sensitive optimal feedback control for uncertain manipulation tasks (22 citations) further demonstrates his breadth. Sieber’s research bridges theory and application, addressing real-world challenges in industrial automation and collaborative robotics. With over 250 total citations, his contributions continue to shape how robots work together—and alongside people—in shared physical spaces.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human-Guided Multirobot Cooperative Manipulation53 citations · 2018
- 3
- 4
- 5Multi-robot manipulation controlled by a human with haptic feedback22 citations · 2015
- 6Risk-sensitive interaction control in uncertain manipulation tasks22 citations · 2013
- 7