Gokul Puthumanaillam
Scholar

Gokul Puthumanaillam

Google Scholar ID: xyxJ5VEAAAAJ
University of Illinois Urbana-Champaign
RoboticsReasoningReinforcement Learning
Citations & Impact
All-time
Citations
67
 
H-index
4
 
i10-index
2
 
Publications
19
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - B-COD accepted @ CoRL 2025 oral (top 5%)
  • - TRACE accepted @ IROS 2025 oral
  • - Predicted Reachability accepted @ IROS 2025 oral
  • - TAB-Fields accepted @ L4DC 2025
  • - Paper accepted @ AAMAS 2025
  • - ComTraQ-MPC accepted @ IROS 2024 oral (top 10%)
  • - Planning in TV-POMDPs accepted @ ICRA 2024
  • - Paper accepted @ ICUAS 2024
  • - NNCS Verification accepted @ AIAA SciTech 2024
  • - Application of TV-POMDP to GUAM accepted @ AIAA-SIAM 2024 also presented at ULI 2024
  • - Texture guided PANet accepted @ Neurocomputing
  • - Paper accepted @ IGARSS 2023
  • Awards:
  • - Best Paper Award @ IEEE GRSS 2023
  • - Young Author Award by IFAC
  • - Department Fellowship
  • - Travel grant for ICRA 2024
  • - Cleared PhD Qualifying Exam
Research Experience
  • Conducting PhD research at LEADCAT lab
  • Research Scientist Intern at Adobe Research (Summer 2025)
Education
  • PhD: Robotics (CSL+AE), University of Illinois Urbana-Champaign, Advisor: Prof. Melkior Ornik
  • B.Tech (Hons): ECE + Mathematics, Manipal Institute of Technology
Background
  • Research Interests: Learning to plan, autonomous system decision making, machine learning (Reinforcement Learning, Diffusion Models, Vision-Language Action Models, Robot Vision, etc.)
  • Professional Field: Robotics, Computer Science and Engineering
  • Introduction: A PhD student at UIUC, dedicated to developing algorithmic and probabilistic techniques that enable autonomous systems to plan farther and faster, and learn abstractions and heuristics that accelerate long-horizon decision making. Recently, he has started to extend his work towards the 'planning to learn' paradigm, enabling autonomous systems to actively choose the data and practice routines that will most improve their planners.
Miscellany
  • Personal Interests: Books, chess, video games, Go, cricket
  • Other: Loves Linux terminals, has been using Vim/Neovim for 10 years, passionate about open-source software contributions