Karen Ka Yan Leung

Nvidia (United States), University of Washington

Papers

3

Total Citations

25

H-Index

3

About

Karen Ka Yan Leung is a rising leader in safe human-robot interaction and autonomous driving, whose work bridges formal safety guarantees with real-world uncertainty. Her research focuses on ensuring that autonomous vehicles and robots can navigate dynamic, multi-agent environments—particularly around humans—without sacrificing efficiency or safety. Leung’s major contributions include pioneering the use of responsibility allocation to enable safe, uncoordinated interactions between autonomous vehicles and human drivers, a concept explored in her highly cited 2023 paper (9 citations). She has also advanced diffusion-based planning with control barrier and Lyapunov functions (CoBL-Diffusion, 2024, 8 citations), enabling robots to generate safe, real-time plans in crowded spaces. Her 2018 work (8 citations) infused reachability-based safety assurance into probabilistic planning frameworks, addressing the critical challenge of human driver uncertainty. With over 25 total citations across her most influential papers, Leung is shaping the next generation of trustworthy autonomy. Her achievements include developing methods that allow robots to anticipate human actions and proactively adjust behavior, making her a key voice in the quest for safe, interactive autonomous systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
25
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving
9 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Nvidia (United States), University of Washington

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago