TU Dortmund University
🇩🇪 DE
Papers
412
Total Citations
9,080
H-Index
45
Researchers
430
About
TU Dortmund University has established itself as a multifaceted research powerhouse at the intersection of robotics, autonomous systems, human-robot interaction, and intelligent control. The institution's work spans a remarkable breadth — from foundational motion planning algorithms to cutting-edge localization technologies — making it a compelling destination for researchers and students eager to work at the frontier of applied and theoretical robotics. Among TU Dortmund's most recognized contributions is the Timed Elastic Band (TEB) framework, a family of trajectory optimization methods for mobile robots that has become a cornerstone reference in autonomous navigation. Their work on kinodynamic planning, multi-topology trajectory optimization, and real-time trajectory modification has accumulated hundreds of citations and shaped how the field approaches constrained motion planning for ground and aerial vehicles. Complementing this, their scalable UWB-based indoor localization system (ATLAS) has provided the multi-UAV community with open-source tools for centimeter-level positioning in GPS-denied environments. TU Dortmund researchers have also made notable strides in human-robot interaction and perception, including a highly cited empirical analysis of the Leap Motion Controller, rigorous meta-analyses of the uncanny valley phenomenon, and psychological studies exploring anthropomorphism and loneliness — research that bridges cognitive science with social robotics. Their work on elastic joint modeling, compliant control, and robotic belt grinding reflects deep expertise in physical robot systems and industrial automation. Cutting across these domains, the university also contributes to privacy-preserving control through encrypted networked systems — an increasingly vital area as cloud-connected robotics proliferates. With strong ties to industrial applications and a culture of open-source contribution, TU Dortmund offers collaborators and prospective students a rigorous, innovative environment where theoretical depth meets real-world impact.
Research Focus
Key Achievements
Top Papers
- 1Analysis of the Accuracy and Robustness of the Leap Motion Controller905 citations · 2013
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- 3Integrated online trajectory planning and optimization in distinctive topologies309 citations · 2016
- 4Trajectory modification considering dynamic constraints of autonomous robots250 citations · 2012
- 5Efficient trajectory optimization using a sparse model194 citations · 2013
- 6Modeling and Identification of Elastic Robot Joints With Hysteresis and Backlash172 citations · 2009
- 7Kinodynamic trajectory optimization and control for car-like robots166 citations · 2017
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Faculty & Researchers
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