Tim Niemueller
Papers
24
Total Citations
520
H-Index
13
About
Tim Niemueller is a robotics researcher whose work spans mobile manipulation, component-based robot software architecture, autonomous planning, and competitive factory automation. He has made significant contributions to the development of intelligent robotic systems capable of operating in complex, real-world environments. As a contributor to the HERB 2.0 project at Carnegie Mellon University's Personal Robotics Lab, Niemueller helped shape the hardware and software design of one of the field's most recognized mobile manipulators, a work that has garnered over 127 citations. His Fawkes robot software framework, with 51 citations, established influential design principles for modular, component-based robotic software. Niemueller has also pioneered the use of robot databases for fault analysis and performance evaluation, recognizing the long-term value of operational data. A central thread of his research involves the RoboCup Logistics League, where he has helped develop competitive factory automation testbeds and advanced AI planning techniques—including Answer Set Programming and macro-action generation—to enable autonomous multi-robot logistics systems. His integrated approach to planning, simulation, and execution continues to inform the evolving landscape of industrial robotics and autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1Herb 2.0: Lessons Learned From Developing a Mobile Manipulator for the Home127 citations · 2012
- 2Design Principles of the Component-Based Robot Software Framework Fawkes51 citations · 2010
- 3
- 4
- 5
- 6
- 7
- 8ASP-Based Time-Bounded Planning for Logistics Robots19 citations · 2018
- 9
- 10