Gokul Puthumanaillam

According to our database, Gokul Puthumanaillam authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Muninn: Your Trajectory Diffusion Model But Faster.

Gokul Puthumanaillam, Hao Jiang, Ruben Hernandez, Jose Fuentes, Paulo Padrao, Leonardo Bobadilla, Melkior Ornik

CoRR, May, 2026

GUIDEd Agents: Enhancing Navigation Policies Through Task-Specific Uncertainty Abstraction in Localization-Limited Environments.

Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Melkior Ornik

IEEE Robotics Autom. Lett., March, 2026

Amortizing Trajectory Diffusion with Keyed Drift Fields.

Gokul Puthumanaillam, Melkior Ornik

CoRR, March, 2026

SCoUT: Scalable Communication via Utility-Guided Temporal Grouping in Multi-Agent Reinforcement Learning.

Manav Vora, Gokul Puthumanaillam, Hiroyasu Tsukamoto, Melkior Ornik

CoRR, March, 2026

2025

Online Learning of Deceptive Policies under Intermittent Observation.

Gokul Puthumanaillam, Ram Padmanabhan, Jose Fuentes, Nicole Cruz, Paulo Padrao, Ruben Hernandez, Hao Jiang, William E. Schafer, Leonardo Bobadilla, Melkior Ornik

CoRR, September, 2025

Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing.

Gokul Puthumanaillam, Aditya Penumarti, Manav Vora, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Jane Shin, Melkior Ornik

CoRR, August, 2025

Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements.

Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Melkior Ornik

CoRR, May, 2025

The Lazy Student's Dream: ChatGPT Passing an Engineering Course on Its Own.

Gokul Puthumanaillam, Melkior Ornik

CoRR, March, 2025

TAB-Fields: A Maximum Entropy Framework for Mission-Aware Adversarial Planning.

Gokul Puthumanaillam, Jae Hyuk Song, Nurzhan Yesmagambet, Shinkyu Park, Melkior Ornik

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Motion Planning and Control with Unknown Nonlinear Dynamics through Predicted Reachability.

Zhiquan Zhang, Gokul Puthumanaillam, Manav Vora, Melkior Ornik

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

TRACE: A Self-Improving Framework for Robot Behavior Forecasting with Vision-Language Models.

Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Pranay Thangeda, William E. Schafer, Jae Hyuk Song, Karan Jagdale, Leonardo Bobadilla, Melkior Ornik

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Enhancing Robot Navigation Policies with Task-Specific Uncertainty Management.

Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Melkior Ornik

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

A Moral Imperative: The Need for Continual Superalignment of Large Language Models.

Gokul Puthumanaillam, Manav Vora, Pranay Thangeda, Melkior Ornik

CoRR, 2024

ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates.

Gokul Puthumanaillam, Manav Vora, Melkior Ornik

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment.

Gokul Puthumanaillam, Xiangyu Liu, Negar Mehr, Melkior Ornik

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Texture based prototypical network for few-shot semantic segmentation of forest cover: Generalizing for different geographical regions.

Gokul Puthumanaillam, Ujjwal Verma

Neurocomputing, June, 2023

Improved Semantic Segmentation for Identification of Flooded Regions in UAV Aerial Images: A Transformer-Based Approach.

Ujjwal Verma, Gokul Puthumanaillam

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023