Joao P. A. Dantas

According to our database, Joao P. A. Dantas authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation.

Ingrid Navarro, Jay Patrikar, Joao P. A. Dantas, Rohan Baijal, Ian Higgins, Sebastian A. Scherer, Jean Oh

IEEE Robotics Autom. Lett., 2024

TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations.

Jay Patrikar, Joao P. A. Dantas, Brady G. Moon, Milad Moghassem Hamidi, Sourish Ghosh, Nikhil Varma Keetha, Ian Higgins, Atharva Chandak, Takashi Yoneyama, Sebastian A. Scherer

CoRR, 2024

AsaPy: A Python Library for Aerospace Simulation Analysis.

Joao P. A. Dantas, Samara R. Silva, Vitor Conrado Faria Gomes, Andre N. Costa, Adrisson R. Samersla, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama

Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2024

Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat.

Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama

Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2024

2023

Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning.

Joao P. A. Dantas, Diego Geraldo, Felipe L. L. Medeiros, Marcos R. O. A. Máximo, Takashi Yoneyama

CoRR, 2023

ASA-SimaaS: Advancing Digital Transformation through Simulation Services in the Brazilian Air Force.

Joao P. A. Dantas, Diego Geraldo, Andre N. Costa, Marcos Ricardo Omena Albuquerque Máximo, Takashi Yoneyama

CoRR, 2023

Learned Tree Search for Long-Horizon Social Robot Navigation in Shared Airspace.

Ingrid Navarro, Jay Patrikar, Joao P. A. Dantas, Rohan Baijal, Ian Higgins, Sebastian A. Scherer, Jean Oh

CoRR, 2023

Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach.

Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama

Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2023

2022

Formation control method based on artificial potential fields for aircraft flight simulation.

Andre N. Costa, Felipe L. L. Medeiros, Joao P. A. Dantas, Diego Geraldo, Nei Yoshihiro Soma

Simul., 2022

Challenges in Close-Proximity Safe and Seamless Operation of Manned and Unmanned Aircraft in Shared Airspace.

Jay Patrikar, Joao P. A. Dantas, Sourish Ghosh, Parv Kapoor, Ian Higgins, Jasmine Jerry Aloor, Ingrid Navarro, Jimin Sun, Ben Stoler, Milad Moghassem Hamidi, Rohan Baijal, Brady G. Moon, Jean Oh, Sebastian A. Scherer

CoRR, 2022

ASA: A Simulation Environment for Evaluating Military Operational Scenarios.

Joao P. A. Dantas, Andre N. Costa, Vitor Conrado Faria Gomes, Andre Rossi Kuroswiski, Felipe L. L. Medeiros, Diego Geraldo

CoRR, 2022

Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem.

Joao P. A. Dantas, Andre N. Costa, Marcos R. O. A. Máximo, Takashi Yoneyama

CoRR, 2022

Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations.

Joao P. A. Dantas, Andre N. Costa, Felipe L. L. Medeiros, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama

Proceedings of the Winter Simulation Conference, 2022

2021

Engagement Decision Support for Beyond Visual Range Air Combat.

Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama

Proceedings of the Latin American Robotics Symposium, 2021

Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network.

Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos Ricardo Omena Albuquerque Máximo, Takashi Yoneyama

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021