Papers

13

Total Citations

231

H-Index

6

About

Boris Lohmann is a robotics and control systems researcher whose work spans robust control, multi-robot coordination, and mobile manipulation. With a career stretching from foundational contributions in the early 2000s to cutting-edge swarm robotics research, Lohmann has established himself as a versatile figure at the intersection of theoretical control design and practical robotic applications. His most impactful work, "Whole-body impedance control of wheeled mobile manipulators" (2015, 97 citations), demonstrates his ability to tackle complex, real-world robotic challenges, while his research on collective navigation of multi-robot systems (63 citations) reflects a sustained commitment to autonomous and cooperative robotics. Lohmann has made notable contributions to swarm intelligence, developing algorithms for flocking, obstacle avoidance, and leader-guided swarm control — drawing inspiration from biological systems to advance swarm robotics. Earlier in his career, Lohmann addressed robust control of flexible-link manipulators using sliding mode techniques and nonlinear H∞ methods, bridging classical and modern control theory. His more recent work on structure-preserving trajectory planning for wheeled inverted pendulums highlights his engagement with underactuated, constrained mechanical systems. Across these diverse topics, Lohmann's research consistently combines rigorous theoretical foundations with experimental validation, making his contributions valuable to both students and seasoned researchers in robotics and control engineering.

Research Focus

Key Achievements

6
H-Index
13
Papers
231
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Whole-body impedance control of wheeled mobile manipulators
97 citations · 2015
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Technical University of Munich, University of Bremen, Indian Institute of Technology Bombay

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago