Paulo Padrao

According to our database, Paulo Padrao authored at least 18 papers between 2019 and 2026.

Collaborative distances:

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

2026

Energy-Efficient Multi-Robot Coverage Path Planning of Non-Convex Regions of Interests.

Sourav Raxit, Jose Fuentes, Paulo Padrao, Abdullah Al Redwan Newaz, Md. Tamjidul Hoque, Mark Kulp, Leonardo Bobadilla

IEEE Robotics Autom. Lett., July, 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

Multi-Robot Trajectory Planning via Constrained Bayesian Optimization and Local Cost Map Learning with STL-Based Conflict Resolution.

Sourav Raxit, Abdullah Al Redwan Newaz, Jose Fuentes, Paulo Padrao, Ana Cavalcanti, Leonardo Bobadilla

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

BOW: Bayesian Optimization over Windows for Motion Planning in Complex Environments.

Sourav Raxit, Abdullah Al Redwan Newaz, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla

CoRR, August, 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

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

Learning-Based Adaptive Navigation for Scalar Field Mapping and Feature Tracking.

Jose Fuentes, Paulo Padrao, Abdullah Al Redwan Newaz, Leonardo Bobadilla

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Bioinspired SLAM Approach for Unmanned Surface Vehicle.

Fabio Coelho, Joao Victor T. Borges, Paulo Padrao, Jose Fuentes, Ramon R. Costa, Liu Hsu, Leonardo Bobadilla

Proceedings of the IEEE International Conference on Advanced Robotics, 2025

Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection.

Daniel Correa, Tero Kaarlela, Jose Fuentes, Paulo Padrao, Alain Duran, Leonardo Bobadilla

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

A Web-Based Interactive Digital Twin for Marine Robotics Education.

Daniel Correa, Paulo Padrao, Jose Fuentes, Tero Kaarlela, Leonardo Bobadilla

Proceedings of the Extended Reality - International Conference, 2025

2024

LCD-RIG: Limited Communication Decentralized Robotic Information Gathering Systems.

Abdullah Al Redwan Newaz, Paulo Padrao, Jose Fuentes, Tauhidul Alam, Ganesh Govindarajan, Leonardo Bobadilla

IEEE Robotics Autom. Lett., November, 2024

Towards Optimal Human-Robot Interface Design Applied to Underwater Robotics Teleoperation.

Paulo Padrao, Jose Fuentes, Tero Kaarlela, Alfredo Bayuelo, Leonardo Bobadilla

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2022

Estimating spatio-temporal fields through reinforcement learning.

Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Ryan N. Smith

Frontiers Robotics AI, 2022

2019

A Comparative Study of Sensor Fault Detection Approaches applied to an Autonomous Solar-powered Aircraft.

Paulo Padrao, Liu Hsu, Michael Vilzmann, Konstantin Kondak

Proceedings of the 19th International Conference on Advanced Robotics, 2019