Publications

2025

• J.-H. Ewers, D. Anderson, and D. Thomson, “Deep Reinforcement Learning for Time-Critical Wilderness Search and Rescue Using Drones,” Frontiers in Robotics and AI, vol. 11, p. 1527095, Feb. 2025, doi: 10.3389/frobt.2024.1527095.

• J.-H. Ewers, D. Cormack, J. Gibbs, and D. Anderson, “Multi-Target Radar Search and Track Using Sequence-Capable Deep Reinforcement Learning,” no. arXiv:2502.13584. arXiv, February 2025. doi: 10.48550/arXiv.2502.13584.

• J.-H. Ewers, D. Anderson, and D. Thomson, “Recurrent Auto-Encoders for Enhanced Deep Reinforcement Learning in Wilderness Search and Rescue Planning.” arXiv, 2025. doi: 10.48550/ARXIV.2502.19356.

• J.-H. Ewers, J. Gibbs, and D. Anderson, “Stone Soup Multi-Target Tracking Feature Extraction For Autonomous Search And Track In Deep Reinforcement Learning Environment.” arXiv, 2025. doi: 10.48550/ARXIV.2503.01293.

2024

• S. Swinton, J.-H. Ewers, E. McGookin, D. Anderson, and D. Thomson, “A Novel Methodology for Autonomous Planetary Exploration Using Multi-Robot Teams,” no. arXiv:2405.12790. arXiv, May 2024. doi: 10.48550/arXiv.2405.12790.

• J.-H. Ewers, S. Swinton, D. Anderson, E. McGookin, and D. Thomson, “Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-based Integration Methods for Rover Search Planning,” in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, United Arab Emirates: IEEE, Oct. 2024, pp. 7825–7830. doi: 10.1109/IROS58592.2024.10801978.

• J.-H. Ewers, D. Anderson, and D. Thomson, “Predictive Probability Density Mapping for Search and Rescue Using An Agent-Based Approach with Sparse Data,” no. arXiv:2412.13317. arXiv, 2024. doi: 10.48550/arXiv.2412.13317.

2023

• J.-H. Ewers, D. Anderson, and D. Thomson, “Optimal Path Planning Using Psychological Profiling in Drone-assisted Missing Person Search,” Advanced Control for Applications, p. e167, Sep. 2023, doi: 10.1002/adc2.167.

• J.-H. Ewers, D. Anderson, and D. Thomson, “GIS Data Driven Probability Map Generation for Search and Rescue Using Agents,” in IFAC World Congress 2023, 2023, pp. 1466–1471. doi: 10.1016/j.ifacol.2023.10.1834.