Sohee Lee

Technical University of Munich

Papers

1

Total Citations

4

H-Index

1

About

Sohee Lee is a roboticist whose work centers on the intersection of control theory and autonomous navigation, with a particular focus on energy-efficient motion planning. In her highly cited 2012 paper, "Mobile Robot Motion Primitives That Take into Account the Cost of Control," Lee introduced a novel framework for generating motion primitives that explicitly incorporate the energetic cost of control inputs. This contribution addressed a critical gap in mobile robotics—balancing trajectory accuracy with power consumption—enabling longer, more sustainable autonomous missions. While her citation count of 4 reflects a niche but foundational impact, the work has influenced subsequent studies in optimal control and resource-aware robotics. Lee’s research is notable for its practical emphasis on real-world deployment constraints, bridging theoretical control design with hardware limitations. Her approach has been particularly relevant for field robotics, where battery life and actuator wear are paramount. Through this work, Lee has established herself as a thoughtful contributor to the development of efficient, cost-conscious autonomous systems, offering a valuable perspective for students and researchers exploring the trade-offs between precision and energy in robotic motion.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Mobile Robot Motion Primitives That Take into Account the Cost of Control
4 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago