Journal Papers
- J. Gemerek, B. Fu, Y. Chen, Z. Liu, M. Zheng, D. van Wijk, S. Ferrari, "Directional Sensor Planning for Occlusion Avoidance", IEEE Transactions on Robotics (T-RO), 2022. [link]
Conference Papers
- D. van Wijk, I. Down, and M. Majji, “On-Manifold Collision Avoidance using Tori Parametrization and Control Barrier Functions,” 2024 Rocky Mountain AAS GN&C Conference, Breckenridge, Colorado, USA, 1-7 February 2024.
- D. van Wijk, M. Majji, and K. L. Hobbs, “Fault Tolerant Run Time Assurance with Control Barrier Functions for Rigid Body Spacecraft Rotation,” AIAA Scitech 2024 Forum, Orlando, Florida, USA, 7-12 January 2024. [link]
- D. van Wijk, K. Dunlap, K. L. Hobbs, and M. Majji, “Deep Reinforcement Learning for Autonomous Spacecraft Inspection using Illumination,” 2023 AAS/AIAA Astrodynamics Specialist Conference, Big Sky, Montana, USA, 13-17 August 2023. Preprint: [link]
- K. Dunlap, D. van Wijk, and K. L. Hobbs, “Run Time Assurance for Autonomous Spacecraft Inspection,” 2023 AAS/AIAA Astrodynamics Specialist Conference, Big Sky, Montana, USA, 13-17 August 2023. Preprint: [link]
- D. van Wijk, K. Eves, and J. Valasek, “Deep Reinforcement Learning Controller for Autonomous Tracking of Evasive Ground Target,” AIAA Scitech 2023 Forum, 2023. [link]
Other Papers
- D. van Wijk “Stochastic Control Barrier Functions for Economics,” 2023. [link]