Kehan Long
Scholar

Kehan Long

Google Scholar ID: mIUXyAkAAAAJ
University of California San-Diego
RoboticsControlOptimizationArtificial Intelligence
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Citations & Impact
All-time
Citations
179
 
H-index
6
 
i10-index
4
 
Publications
16
 
Co-authors
12
list available
Contact
Emailkehan.lkh@gmail.comCVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
7 items
A Shared-Autonomy Construction Robotic System for Overhead Works
2025
Cited
0
Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information
2025
Cited
0
BR-MPPI: Barrier Rate guided MPPI for Enforcing Multiple Inequality Constraints with Learned Signed Distance Field
2025
Cited
0
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
2025
Cited
0
Neural Configuration-Space Barriers for Manipulation Planning and Control
2025
Cited
0
Neural Configuration Distance Function for Continuum Robot Control
arXiv.org · 2024
Cited
0
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments
arXiv.org · 2024
Cited
1
Resume (English only)
Academic Achievements
  • - Publications:
  • - "Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions" accepted to NeurIPS 2025
  • - "Neural Configuration Distance Function for Continuum Robot Control" accepted to IROS 2025
  • - "Sensor-based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments" accepted to IJRR
  • - "Distributionally Robust Policy and Lyapunov-Certificate Learning" accepted to IEEE OJ-CSYS
  • - "Stabilization of Nonlinear Systems through Control Barrier Functions" accepted to CDC 2024
  • - "Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments" accepted to ACC 2024
  • - "Feasibility Analysis and Regularity Characterization of Distributionally Robust Safe Stabilizing Controllers" accepted to L-CSS
  • - "Distributionally Robust Lyapunov Function Search Under Uncertainty" accepted to L4DC 2023
  • - "Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization" accepted to ACC 2023
  • - "Safe Control Synthesis with Uncertain Dynamics and Constraints" accepted to RA-L with IROS 2022
  • - "Learning Barrier Functions with Memory for Robust Safe Navigation" accepted to RA-L with ICRA 2021
  • - Awards:
  • - Selected as RSS Pioneers 2025 for work on Certifiable Robot Autonomy under Uncertainty
  • - Successfully defended PhD dissertation titled "Certifiable Robot Control under Uncertainty: Towards Safety, Stability, and Robustness"
Research Experience
  • - Conducted research on robotics at Contextual Robotics Institute
  • - Engaged in robotics-related work at SceniX AI
Education
  • - Ph.D. in Mathematics, University of California San Diego, advised by Prof. Nikolay Atanasov, Prof. Jorge Cortés, and Prof. Melvin Leok
  • - B.S. in Applied Mathematics, University of Illinois, Urbana-Champaign
Background
  • - Research Interests: Robotics, artificial intelligence, and control theory, with a focus on enabling certifiable and reliable robot autonomy
  • - Professional Field: Robot control and learning, decision-making under uncertainty, safe robot autonomy
  • - Brief Introduction: Working on robotics at SceniX AI
Co-authors
12 total
Nikolay A. Atanasov
Nikolay A. Atanasov
Associate Professor, University of California San Diego
Jorge Cortes
Jorge Cortes
Professor of Mechanical and Aerospace Engineering, University of California, San Diego
Melvin Leok
Melvin Leok
Professor of Mathematics, University of California, San Diego
Yinzhuang Yi
Yinzhuang Yi
Department of Electrical and Computer Engineering, University of California San Diego
Vikas Dhiman
Vikas Dhiman
Assistant Professor at the University of Maine
Co-author 6
Co-author 6
Sylvia Herbert
Sylvia Herbert
Assistant Professor, University of California, San Diego
HYUNG JIN YOON
HYUNG JIN YOON
Tennessee Technological University