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Qingbiao Li
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Graph neural networks for decentralized multi-robot path planning
Q Li, F Gama, A Ribeiro, A Prorok
2020 IEEE/RSJ international conference on intelligent robots and systems …, 2020
2252020
Mobile robot path planning in dynamic environments through globally guided reinforcement learning
B Wang, Z Liu, Q Li, A Prorok
IEEE Robotics and Automation Letters 5 (4), 6932-6939, 2020
1852020
Message-aware graph attention networks for large-scale multi-robot path planning
Q Li, W Lin, Z Liu, A Prorok
IEEE Robotics and Automation Letters 6 (3), 5533-5540, 2021
1192021
Graph neural network guided local search for the traveling salesperson problem
B Hudson, Q Li, M Malencia, A Prorok
arXiv preprint arXiv:2110.05291, 2021
462021
Synthesizing decentralized controllers with graph neural networks and imitation learning
F Gama, Q Li, E Tolstaya, A Prorok, A Ribeiro
IEEE Transactions on Signal Processing 70, 1932-1946, 2022
37*2022
A framework for real-world multi-robot systems running decentralized GNN-based policies
J Blumenkamp, S Morad, J Gielis, Q Li, A Prorok
2022 International Conference on Robotics and Automation (ICRA), 8772-8778, 2022
312022
Graph neural networks for decentralized multi-robot target tracking
L Zhou, VD Sharma, Q Li, A Prorok, A Ribeiro, P Tokekar, V Kumar
2022 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2022
28*2022
Real-time surgical environment enhancement for robot-assisted minimally invasive surgery based on super-resolution
R Wang, D Zhang, Q Li, XY Zhou, B Lo
2021 IEEE International Conference on Robotics and Automation (ICRA), 3434-3440, 2021
132021
Graph neural networks for decentralized path planning
Q Li, F Gama, A Ribeiro, A Prorok
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
122020
Abdominal aortic aneurysm segmentation with a small number of training subjects
JQ Zheng, XY Zhou, QB Li, C Riga, GZ Yang
arXiv preprint arXiv:1804.02943, 2018
112018
Looking at the body: Automatic analysis of body gestures and self-adaptors in psychological distress
W Lin, I Orton, Q Li, G Pavarini, M Mahmoud
IEEE Transactions on Affective Computing 14 (2), 1175-1187, 2021
102021
Estimation of tissue oxygen saturation from RGB images and sparse hyperspectral signals based on conditional generative adversarial network
Q Li, J Lin, NT Clancy, DS Elson
International journal of computer assisted radiology and surgery 14, 987-995, 2019
92019
The holy grail of multi-robot planning: Learning to generate online-scalable solutions from offline-optimal experts
A Prorok, J Blumenkamp, Q Li, R Kortvelesy, Z Liu, E Stump
arXiv preprint arXiv:2107.12254, 2021
82021
Tacgnn: Learning tactile-based in-hand manipulation with a blind robot using hierarchical graph neural network
L Yang, B Huang, Q Li, YY Tsai, WW Lee, C Song, J Pan
IEEE Robotics and Automation Letters 8 (6), 3605-3612, 2023
7*2023
Robust foot placement control for dynamic walking using online parameter estimation
Q Li, I Chatzinikolaidis, Y Yang, S Vijayakumar, Z Li
2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017
52017
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality
C Yu, Q Li, S Gao, A Prorok
2023 IEEE International Conference on Robotics and Automation (ICRA), 3432-3439, 2023
42023
Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging
K Ji, W Lin, Y Sun, LS Cui, J Shamsi, YH Chiang, J Chen, EM Tennyson, ...
Nature Machine Intelligence 5 (11), 1225-1235, 2023
22023
Non-parametric surrogate model method based on machine learning with application on low-pressure steam turbine exhaust system
J Cao, Q Li, L Xu, R Yang, Y Dai
Journal of the Global Power and Propulsion Society 6, 165-180, 2022
2*2022
Learning to navigate using visual sensor networks
J Blumenkamp, Q Li, B Wang, Z Liu, A Prorok
arXiv preprint arXiv:2208.00759, 2022
12022
Estimation of tissue oxygen saturation from RGB images based on pixel-level image translation
QB Li, XY Zhou, J Lin, JQ Zheng, NT Clancy, DS Elson
arXiv preprint arXiv:1804.07116, 2018
12018
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