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Cited by
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Since 2019
Citations
10
10
h-index
2
2
i10-index
0
0
0
6
3
2023
2024
5
5
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Co-authors
Kerianne Hobbs
Research Aerospace Engineer, Air Force Research Laboratory
Verified email at us.af.mil
Kyle Dunlap
Parallax Advanced Research
Verified email at parallaxresearch.org
Silvia Ferrari
John Brancaccio Professor, Sibley School of Mechanical and Aerospace Engineering, Cornell University
Verified email at cornell.edu
Jake Gemerek
PhD Student in Mechanical Engineering, Cornell University
Verified email at cornell.edu
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David van Wijk
PhD Candidate in Aerospace Engineering,
Texas A&M University
Verified email at tamu.edu -
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Autonomy
Control Barrier Functions
Reinforcement Learning
Robotics
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Year
Directional sensor planning for occlusion avoidance
J Gemerek, B Fu, Y Chen, Z Liu, M Zheng, D van Wijk, S Ferrari
IEEE Transactions on Robotics 38 (6), 3713-3733
, 2022
4
2022
Run Time Assurance for Autonomous Spacecraft Inspection
K Dunlap, D van Wijk, KL Hobbs
arXiv preprint arXiv:2302.02885
, 2023
3
2023
Deep reinforcement learning controller for autonomous tracking of evasive ground target
D van Wijk, KJ Eves, J Valasek
AIAA SciTech 2023 Forum, 0128
, 2023
2
2023
Deep reinforcement learning for autonomous spacecraft inspection using illumination
D van Wijk, K Dunlap, M Majji, KL Hobbs
arXiv preprint arXiv:2308.02743
, 2023
1
2023
Fault Tolerant Run Time Assurance with Control Barrier Functions for Rigid Body Spacecraft Rotation
D van Wijk, M Majji, KL Hobbs
AIAA SCITECH 2024 Forum, 0991
, 2024
2024
Stochastic Control Barrier Functions for Economics
D van Wijk
arXiv preprint arXiv:2312.12612
, 2023
2023
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