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Le professeur Gregory Dudek fait partie de l'École d'informatique de l'Université McGill et est le directeur du Laboratoire de robotique mobile du Centre de Recherche sur les Machines Intelligentes.
2023
J. Wang, X. Chen, X. Liu, and G. Dudek, “Eliminating Space Scanning: Fast mmWave Beam Alignment with UWB Radios”, ACM Transactions on Sensor Networks, vol. 19, no. 4, pp. 120, 2023.
D. Wu, J. Li, A. Ferini, Y.T. Xu, M. Jenkin, S. Jang, X. Liu, and G. Dudek, “Reinforcement learning for communication load balancing: approaches and challenges”, Frontiers in Computer Science, vol. 5,p. 1156064, 2023.
D. Rivkin, G. Dudek, N. Kakodkar, D. Meger, O. Limoyo, M. Jenkin, X. Liu, and F. Hogan, “ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence”, in 2023 IEEE Inter- national Conference on Robotics and Automation (ICRA), 2023, pp. 82628268, also available as .
S. Rezaei-Shoshtari, C. Morissette, F.R. Hogan, G. Dudek, and D. Meger, “Hypernetworks for zero- shot transfer in reinforcement learning”, in Proceedings of the AAAI Conference on Artificial Intelli- gence, 2023, vol. 37, no. 8, pp. 95799587.
F. Lotfi, K. Virji, and G. Dudek, “Robust Scuba Diver Tracking and Recovery in Open Water Using YOLOv7, SORT, and Spiral Search”, Proceedings of CRV 2023, June 2023, pp. 233-240, doi : 10.1109/CRV60082.2023.00037.
C. Hu, J. Wang, D. Wu, Y. Xin, C. Zhang, X. Liu, G Dudek “AdaTeacher: Adaptive Multi-Teacher Weighting for Communication Load Forecasting”, IEEE Global Commmunications Conference (GlobeCom), Dec. 2023.
D. Wu, Y.T. Xu, J. Li, M. Jenkin, E. Hossain, S. Jang, Y. Xin, C. Zhang, X. Liu, G. Dudek. “Learning to Adapt: Communication Load Balancing via Adaptive Deep Reinforcement Learning,” IEEE Global Commmunications Conference (GlobeCom), Dec. 2023.
D. Wu, Y.T. Xu, M. Jenkin, S. Jang, E. Hossain, X. Liu, G. Dudek, “Energy Saving in Cellular Wireless Networks via Transfer Deep Reinforcement Learning,” IEEE Global Commmunications Conference (GlobeCom), Dec. 2023.
D. Wu, Y.T. Xu, M. Jenkin, S. Jang, E. Hossain, X. Liu, G. Dudek, “Energy Saving in Cellular Wireless Networks via Transfer Deep Reinforcement Learning,” IEEE Global Commmunications Conference (GlobeCom), Dec. 2023.
H. Zhao, A. Pacheco, V. Strobel, A. Reina, X. Liu, G. Dudek, M. Dorigo. “A Generic Framework for Byzantine-tolerant Consensus Achievement in Robot Swarms”, Proc. IEEE/RSJ International Conference on Robotics and Systems (IROS), Oct. 2023, 8 pages.
H. Zhao, X. Liu, G. Dudek. “Zero-shot Fault Detection for Manipulators through Bayesian Inverse Reinforcement Learning”, Proc. IEEE/RSJ International Conference on Robotics and Systems (IROS), Oct. 2023, 8 pages.
J. Kang, D. Wu, J. Wang, E. Hossain, X. Liu, G. Dudek, “Multiagent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks”, IEEE International Conference on Communications (ICC) 2023, Rome, Italy, Also as .
D. Rivkin, G. Dudek, N. Kakodkar, D. Meger, O. Limoyo, M. Jenkin, X. Liu, and F. Hogan, “ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence”, in 2023 IEEE Inter- national Conference on Robotics and Automation (ICRA), 2023, pp. 82628268, also available as .
Y. Tian Xu, J. Li, D. Wu, M. Jenkin, S. Jang, X. Liu, and G. Dudek, “Policy Reuse for Com- munication Load Balancing in Unseen Traffic Scenarios”, Proc. IEEE International Conference on Communications (ICC) 2023, Rome, Italy.
J. Li, D. Wu, Y.T. Xu, T. Li, J. Seowoo, X. Liu, and G.L. Dudek, “Traffic scenario clustering and load balancing with distilled reinforcement learning policies”. Apr. 20, 2023
A. Konar, D. Wu, Y. Tian Xu, S. Jang, S. Liu, G. Dudek. “Communication Load Balancing via Efficient Inverse Reinforcement Learning”, IEEE International Conference on Communications (ICC) 2023, Rome, Italy.
I. Kozlov, D. Rivkin, W.-D. Chang, D. Wu, X. Liu, G. Dudek. “Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks”, Proc. IEEE International Conference on Communications (ICC), 2023, also DOI:10.48550/arXiv.2302.02025.
D. Yuan, Y. Nam, A. Feriani, A. Konar, D. Wu, S. Jang, X. Liu, G. Dudek. “Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Net- works”, Proc. IEEE International Conference on Communications (ICC), 2023.
J. Kang, D. Wu, J. Wang, E. Hossain, X. Liu, G. Dudek. “Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks”, Proc. IEEE International Conference on Communications (ICC), 2023. Also available as:
S. Al Laham, B.H. Baghi, P.-Y. Lajoie, A. Feriani, S. Herath, S. Liu, G. Dudek. “Device-Free Human State Estimation using UWB Multi-Static Radios” DOI: arXiv:2401.05410. Submitted 26 December, 2023.
J. Li, I. Kozlov, D. Wu, X. Liu, G. Dudek. “Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization”, DOI: arXiv:2312.03277. Submitted 5 December, 2023.
O. Limoyo, A. Konar, T. Ablett, J. Kelly, F.R. Hogan, G. Dudek. “Working Backwards: Learning to Place by Picking”, DOI: arXiv:2312.02352. Submitted 4 December, 2023.
J.-F. Tremblay, D. Meger, F. Hogan, G. Dudek. “Learning active tactile perception through belief-space control”, DOI: arXiv:2312.00215. Submitted 30 November, 2023.
P.-Y. Lajoie, B.H. Baghi, S. Herath, F. Hogan, X. Liu, G. Dudek. “PEOPLEx: PEdestrian Opportunistic Positioning LEveraging IMU, UWB, BLE and WiFi”. DOI: arXiv:2311.18182. Submitted 29 November, 2023.
C. Morissette, B.H. Baghi, F.R. Hogan, G. Dudek. “A Study of Human-Robot Handover through Human-Human Object Transfer”, DOI: arXiv:2311.13021. Submitted 21 November, 2023.
W.-D. Chang, F. Hogan, D. Meger, G. Dudek. “Generalizable Imitation Learning Through Pre-Trained Representations”, DOI: arXiv:2311.09350. Submitted 15 November, 2023.
T. Ablett, O. Limoyo, A. Sigal, A. Jilani, J. Kelly, K. Siddiqi, F. Hogan, G. Dudek. “Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor”, DOI: arXiv:2311.01248. Submitted 22 December, 2023.
J. Luo, Y.T. Xu, D. Wu, M. Jenkin, X. Liu, G. Dudek. “Adaptive Dynamic Programming for Energy-Efficient Base Station Cell Switching”, DOI: arXiv:2310.12999. Submitted 30 October, 2023.
D. Yuan, E. Hossain, D. Wu, X. Liu, G. Dudek. “Realizing XR Applications Using 5G-Based 3D Holographic Communication and Mobile Edge Computing”, DOI: arXiv:2310.03908. Submitted 5 October, 2023.
W.-D. Chang, S. Fujimoto, D. Meger, G. Dudek. “Imitation Learning from Observation through Optimal Transport”, DOI: arXiv:2310.01632. Submitted 2 October, 2023.
F. Lotfi, K. Virji, F. Faraji, L. Berry, A. Holliday, D. Meger, G. Dudek. “Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model”, DOI: arXiv:2310.00760. Submitted 1 October, 2023.
A. Feriani, D. Wu, S. Liu, G. Dudek. “CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation”, DOI: arXiv:2306.13761. Submitted 13 November, 2023.
A. Holliday, G. Dudek. “Neural Bee Colony Optimization: A Case Study in Public Transit Network Design”, DOI: arXiv:2306.00720. Submitted 18 May, 2023.
A. Konar, D. Wu, Y.T. Xu, S. Jang, S. Liu, G. Dudek. “Communication Load Balancing via Efficient Inverse Reinforcement Learning”, DOI: arXiv:2303.16686. Submitted 22 March, 2023.
Y.T. Xu, J. Li, D. Wu, M. Jenkin, S. Jang, X. Liu, G. Dudek. “Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios,” DOI: arXiv:2303.16685. Submitted 22 March, 2023.
D. Yuan, Y. Nam, A. Feriani, A. Konar, D. Wu, S. Jang, X. Liu, G. Dudek. “Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks,” DOI: arXiv:2303.13686. Submitted 23 March, 2023.
J. Kang, D. Wu, J. Wang, E. Hossain, X. Liu, G. Dudek. “Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks,” DOI: arXiv:2303.08003. Submitted 14 March, 2023.
D. Rivkin, G. Dudek, N. Kakodkar, D. Meger, O. Limoyo, X. Liu, F. Hogan. “ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence”, DOI: arXiv:2302.07931. Submitted 15 February, 2023.
I. Kozlov, D. Rivkin, W.-D. Chang, D. Wu, X. Liu, G. Dudek. “Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks”, doi 10.1109/ICC45041.2023.10278818 DOI: arXiv:2302.02025. Submitted 3 February, 2023.
S. Rezaei-Shoshtari, C. Morissette, F.R. Hogan, G. Dudek, D. Meger. “Hypernetworks for Zero-shot Transfer in Reinforcement Learning”, DOI: arXiv:2211.15457. Submitted 2 January, 2023.
2022
Bobak H Baghi et al. “SESNO: Sample Efficient Social Navigation from Observation”. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. 2022, pp. 9164–9171.
Wei-Di Chang et al. “Il-flow: Imitation learning from observation using normalizing flows”. In: arXiv preprint arXiv:2205.09251 (2022).
Xi Chen et al. “Fidora: Robust WiFi-based indoor localization via unsupervised domain adaptation”. In: IEEE Internet of Things Journal 9.12 (2022), pp. 9872–9888.
HU Chengming et al. Communication load forecasting accuracy with adaptive feature boosting. US Patent App. 17/570,767. 2022.
Amal Feriani et al. “Multiobjective load balancing for multiband downlink cellular networks: A meta-reinforcement learning approach”. In: IEEE Journal on Selected Areas in Communications 40.9 (2022), pp. 2614– 2629.
Johanna Hansen et al. “Visuotactile-rl: learning multimodal manipulation policies with deep reinforcement learning”. In: 2022 International Conference on Robotics and Automation (ICRA). IEEE. 2022, pp. 8298– 8304.
Francois R Hogan et al. “Finger-sts: Combined proximity and tactile sensing for robotic manipulation”. In: IEEE Robotics and Automation Letters 7.4 (2022), pp. 10865–10872.
Chengming Hu et al. “Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting”. In: GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE. 2022, pp. 2316–2321.
Mostafa Hussien et al. “Efficient Neural Data Compression for Machine Type Communications via Knowledge Distillation”. In: GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE. 2022, pp. 1169–1174.
Jikun Kang et al. “A Generalized Load Balancing Policy With Multi-Teacher Reinforcement Learning”. In: GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE. 2022, pp. 3096–3101.
Hang Li et al. “Data-Efficient Communication Traffic Prediction With Deep Transfer Learning”. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 3190–3195.
Hang Li et al. “Communication Traffic Prediction with Continual Knowledge Distillation”. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 5481– 5486.
Jimmy Li et al. “Traffic scenario clustering and load balancing with distilled reinforcement learning policies”. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 1536–1541.
Manyou Ma et al. “Coordinated load balancing in mobile edge computing network: a multi-agent drl approach”. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 619–624.
Sahand Rezaei-Shoshtari et al. “Hypernetworks for zero-shot transfer in reinforcement learning”. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 37. 8. 2023, pp. 9579–9587.
Di Wu et al. “Active deep multi-task learning for forecasting short-term loads”. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 5523–5529.
Di Wu et al. “Attentive Knowledge Transfer for Short-term Load Forecasting”. In: GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE. 2022, pp. 5285–5291.
Di Wu et al. “Short-term load forecasting with deep boosting transfer regression”. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 5530–5536.
Hanging Zhao et al. “Behaviour Learning with Adaptive Motif Discovery and Interacting Multiple Model”. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. 2022, pp. 10788– 10794.
Sandeep Manjanna, M Ani Hsieh, and Greogory Dudek. “Scalable multirobot planning for informed spatial sampling”. In: Autonomous Robots 46.7 (2022), pp. 817–829.
2021
F. Hogan, M. Jenkin, G.L. Dudek, Y. Girdhar, S. Rezaei-Shoshtari, and D. Meger. “Semitransparent tactile surface sensor and a method of sensing an interaction with an object using the semitransparent tactile surface sensor,” US Patent App. 17/139,642, 2021.
S. Wapnick, T. Manderson, D. Meger, and G. Dudek. “Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain,” 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
X. Chen, J. Wang, H. Li, Y.T. Xu, D. Wu, X. Liu, G. Dudek, T. Lee, and I. Park. “One for All: Traffic Prediction at Heterogeneous 5G Edge with Data- Efficient Transfer Learning,” 2021 IEEE Global Communications Conference (GLOBECOM), 01- 06, 2021
D. Wu, J. Kang, Y.T. Xu, H. Li, J. Li, X. Chen, D. Rivkin, M. Jenkin, T. Lee, I. Park, X. Liu, and G. Dudek. “Load Balancing for Communication Networks via Data- Efficient Deep Reinforcement Learning,” 2021 IEEE Global Communications Conference (GLOBECOM), 01-07, 2021.
C. Hu, X. Chen, J. Wang, H. Li, J. Kang, Y.T. Xu, X. Liu, D. Wu, S. Jang, I. Park, and G. Dudek. “AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting,” 2021 IEEE Global Communications Conference (GLOBECOM), 01- 06, 2021.
D. Rivkin, D. Meger, D. Wu, X. Chen, X. Liu, G. Dudek. “Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform,” 2021 IEEE Global Communications Conference (GLOBECOM), 1-7, 2021.
J. Hansen, K. Virji, T. Manderson, D. Meger, and G. Dudek. “DRIFT-NCRN: A Benchmark Dataset for Drifter Trajectory Prediction,” 2021.
M. Rezanejad, B. Samari, E. Karimi, I. Rekleitis, G. Dudek, and K. Siddiqi. “Average Outward Flux Skeletons for Environment Mapping and Topology Matching,” arXiv preprint arXiv:2111.13826, 2021.
M.J. Roshtkhari, J.C.G. Higuera, and G.L. Dudek. “Systems and methods for automated camera calibration,” US Patent 11,176,706, 12, 2021.
Y. Huang, Y. Yao, J. Hansen, J. Mallette, S. Manjanna, G. Dudek, and D. Meger. “An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles,” arXiv preprint arXiv:2110.14738, 2021.
D. Wu, T. Li, D. Meger, M. Jenkin, X. Liu, and G. Dudek. “Multi-batch Reinforcement Learning via Sample Transfer and Imitation Learning,” 2021.
J. Kang, X. Chen, J. Wang, C. Hu, X. Liu, and G. Dudek, “MOBA: Multi-teacher Model Based Reinforcement Learning,” 2021.
B.H. Baghi and G. Dudek. “Sample Efficient Social Navigation Using Inverse Reinforcement Learning,” arXiv preprint arXiv:2106.10318, 1, 2021
F. Shkurti, G. Dudek, Y. Abeysirigoonawardena, E.A. Abolfathi, and J. Luo. “Iterative generation of adversarial scenarios,” US Patent 11,036,232, 2021.
J. Kang, X. Chen, D. Wu, Y.T. Xu, X. Liu, G. Dudek, T. Lee, and I. Park. “Hierarchical Policy Learning for Hybrid Communication Load Balancing,” ICC 2021- IEEE International Conference on Communications, 1-6, 2, 2021
J. Wang, X. Chen, X. Liu, and G. Dudek. “UWBAssisted Fast mmWave Beam Alignment,” ICC 2021- IEEE International Conference on Communications, 1-6, 2021
Y. Girdhar, D. Rivkin, D. Wu, M. Jenkin, X. Liu, and G. Dudek. “Optimizing Cellular Networks via Continuously Moving Base Stations on Road Networks,” 2021 IEEE International Conference on Robotics and Automation (ICRA), 4020-4025, 2021
J.F. Tremblay, T. Manderson, A. Noca, G. Dudek, and D. Meger. “Multimodal dynamics modeling for offroad autonomous vehicles,” 2021 IEEE International Conference on Robotics and Automation (ICRA), 1796-1802, 1, 2021.
S. Manjanna, M.A. Hsieh, and G. Dudek. “Scalable Multi-Robot System for Non-myopic Spatial Sampling,” arXiv preprint arXiv:2105.10018, 2021.
S. Rezaei-Shoshtari, F.R. Hogan, M. Jenkin, D. Meger, and G. Dudek. “Learning Intuitive Physics with Multimodal Generative Models,” Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6110-6118, 1, 2021.
X. Chen, H. Li, Z. Chenyi, X. Liu, D. Wu, and G.L. Dudek. “System and method for wifi-based indoor localization via unsupervised domain adaptation,” US Patent App. 16/913,493, 1, 2021.
A. Holliday and G. Dudek. “Scale-invariant localization using quasi-semantic object landmarks,” Autonomous Robots 45 (3), 407-420, 2021.
A. Konar, B.H. Baghi, and G. Dudek. “Learning goal conditioned socially compliant navigation from demonstration using risk-based features,” IEEE Robotics and Automation Letters 6 (2), 651-658, 5, 2021.
F.R. Hogan, M. Jenkin, S. Rezaei-Shoshtari, Y. Girdhar, D. Meger, and G. Dudek. “Seeing through your skin: Recognizing objects with a novel visuotactile sensor,” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 5, 2021.
2020
Konar, A., B. H. Baghi, and G. Dudek. Learning Goal Conditioned Socially Compliant Navigation From Demonstration Using Risk-Based Features. IEEE Robotics and Automation Letters 6, no. 2 (print version scheduled for April 2021): 65158. Online version in 2020: .
Chen, Xi and Li, Hang and Zhou, Chenyi and Liu, Xue and Wu, Di and Dudek, Gregory. “FiDo: Ubiquitous Fine-Grained WiFi-Based Localization for Unlabelled Users via Domain Adaptation,” Proceedings of The Web Conference 2020 (WWW ’20), Taipei, Taiwan, Association for Computing Machinery, pp. 23-33, 2020.
Cheng, Ran, Christopher Agia, David Meger, and Gregory Dudek. “Depth Prediction for Monocular Direct Visual Odometry.” In 2020 17th Conference on Computer and Robot Vision (CRV), 70-77. IEEE Computer Society, 2020
Di Vito, Daniele, Mathieux Bergeron, David Meger, Gregory Dudek, and Gianluca Antonelli. “Dy- namic Planning of Redundant Robots within a Set-Based Task-Priority Inverse Kinematics Frame- work.” In 2020 IEEE Conference on Control Technology and Applications (CCTA), 549-54. IEEE, 2020.
Holliday, Andrew, and Gregory Dudek. “Pre-Trained CNNs as Visual Feature Extractors: A Broad Evaluation.” In 2020 17th Conference on Computer and Robot Vision (CRV), 78-84. IEEE, 2020.
Joshi, Bharat, Md Modasshir, Travis Manderson, Hunter Damron, Marios Xanthidis, Alberto Quat- trini Li, Ioannis Rekleitis, and Gregory Dudek. “DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization.” In Proc. IEEE/RSJ International Conference on Robotics and Systems (IROS), 2020.
Koreitem, Karim, Florian Shkurti, Travis Manderson, Wei-Di Chang, Juan Camilo Gamboa Higuera, and Gregory Dudek. “One-Shot Informed Robotic Visual Search in the Wild.” In Proc. IEEE/RSJ International Conference on Robotics and Systems (IROS 2020), 2020.
Jimmy, Karim Koreitem, David Meger, and Gregory Dudek. “View-Invariant Loop Closure with Oriented Semantic Landmarks.” In 2020 IEEE International Conference on Robotics and Automation (ICRA), 7943-49. IEEE, 2020.
Manderson, Travis, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-Francois Tremblay, Florian Shkurti, David Meger, and Gregory Dudek. “Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles.” In Proceeding of Robotics Science and Systems, Vol. 16, 2020.
Manderson, Travis, Stefan Wapnick, Dave Meger, and Gregory Dudek. “Learning to Drive Off-Road on Smooth Terrains in Unstructured Environments Using an Onboard Camera and Sparse Aerial Images.” In Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020.
Hogan, F. R., S. Rezaei-Shoshtari, M. Jenkin, Y. Girdhar, D. Meger, and G. Dudek. Seeing Through Your Skin: A Novel Visuo-Tactile Sensor for Robotic Manipulation. In Visual Learning and Reasoning for Robotic Manipulation (Visual Learning and Reasoning for Robotic Manipulation Workshop of RSS 2020). Corvallis, Oregon, USA, 2020.
Friedman, Natalie, David Goedicke, Vincent Zhang, Dmitriy Rivkin, Michael Jenkin, Ziedune Degutyte, Arlene Astell, Xue Liu, and Gregory Dudek. 2020a. “Capturing Attention with Wind.” In Workshop on Approaches to Advance Physical Human-Robot Interaction (AVHC)., 2. (Best paper award) .
———. 2020b. “Out of My Way! Exploring Different Modalities for Robots to Ask People to Move Out of the Way.” Workshop on Active Vision and Perception in Human(-Robot) Collaboration. Held in Conjunction with the 29th IEEE Int. Conf. on Robot and Human Interactive Communication., September, 9 [best paper award]. .
Hogan, Francois R., Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh Girdhar, David Meger, and Gregory Dudek. 2021a. “Seeing Through Your Skin: Recognizing Objects with a Novel Visuotactile Sensor.” In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 1218–27.
Li, Jimmy, Karim Koreitem, David Meger, and Gregory Dudek. 2020. “View-Invariant Loop Closure with Oriented Semantic Landmarks.” In 2020 IEEE International Conference on Robotics and Automation (ICRA), 7943–49. IEEE.
———. 2020b. “Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles.” In Proceeding of Robotics Science and Systems. Vol. 16.
Manderson, Travis, Stefan Wapnick, David Meger, and Gregory Dudek. 2020. “Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images.” In Proceedings of the 2020 IEEE International Conference on Robotics and Automation.
Rezaei-Shoshtari, Sahand, Francois Robert Hogan, Michael Jenkin, David Meger, and Gregory Dudek. 2021. “Learning Intuitive Physics with Multimodal Generative Models.” In Proc AAAI Conference on Artificial Intelligence, 2101:arXiv:2101.04454. .
Zhang, Vincent, Natalie Friedman, David Goedicke, Dmitriy Rivkin, Michael Jenkin, Xue Liu, and Gregory Dudek. 2020. “The Answer Is Blowing in the Wind: Directed Air Flow for Socially-Acceptable Human-Robot Interaction:” In Proceedings of the International Conference on Robotics, Computer Vision and Intelligent Systems, 106–13. Budapest, Hungary: SCITEPRESS - Science and Technology Publications. .
Joshi, Bharat, Md Modasshir, Travis Manderson, Hunter Damron, Marios Xanthidis, Alberto Quattrini Li, Ioannis Rekleitis, and Gregory Dudek.. “DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization.” Proc Int Conf on Robots and Systems (IROS). 2020. 8 pages.
Manderson, Travis, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger, and Gregory Dudek. 2020a. “Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles.” ArXiv Preprint ArXiv:2006.16235.
Tremblay, Jean-François, Travis Manderson, Aurélio Noca, Gregory Dudek, and David Meger. 2020. “Multimodal Dynamics Modeling for Off-Road Autonomous Vehicles.” ArXiv Preprint ArXiv:2011.11751.
2018
Travis Manderson, Ran Cheng, David Meger Gregory Dudek. (2018). Navigation in the Service of Enhanced Pose Estimation. Proceedings of the 2018 International Symposium on Experimental Robotics. The 2018 International Symposium on Experimental Robotics (ISER 2018), Buenos Aires, Argentina 2018/11.
Hansen, J., Manjanna, S., Li, A. Q., Rekleitis, I., and Dudek, G. (2018, October). Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields. In OCEANS 2018 MTS/IEEE Charleston(pp. 1-7). IEEE.
Travis Manderson and Gregory Dudek. (2018). GPU-Assisted Learning on an Autonomous Marine Robot for Vision-Based Navigation and Image Understanding. In Proceedings of Oceans Conference and Exposition 2018. The 2018 Oceans Conference and Exposition, Charleston, United States, 2018/10
Travis Manderson, Juan Camilo Gamboa Higuera, Ran Cheng, Gregory Dudek. (2018). Vision-based Autonomous Underwater Swimming in Dense Coral for Combined Collision Avoidance and Target Selection. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018). The 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, 2018/10
Sandeep Manjanna, Alberto Quattrini Li, Ryan N. Smith, Ioannis Rekleitis, Gregory Dudek. (2018). Adaptive exploration and sampling by heterogeneous robotic team. In Proc of the IEEE International Conference on Robotics and Automation (ICRA 2018). The 2018 IEEE International Conference on Robotics and Automation (ICRA 2018), Sydney, Australia, 2018/5
Manjanna, S., Li, A. Q., Smith, R. N., Rekleitis, I., and Dudek, G. (2018, May). Heterogeneous Multi-Robot System for Exploration and Strategic Water Sampling. In 2018 IEEE International Conference on Robotics and Automation (ICRA) (pp. 1-8). IEEE.
Higuera, J. C. G., Meger, D., and Dudek, G. (2018, October). Synthesizing Neural Network Controllers with Probabilistic Model-Based Reinforcement Learning. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2538-2544). IEEE.
Hansen, J., and Dudek, G. (2018, October). Coverage optimization with non-actuated, floating mobile sensors using iterative trajectory planning in marine flow fields. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1906-1912). IEEE.
Koreitem, K., Li, J., Karp, I., Manderson, T., Shkurti, F., and Dudek, G. (2018, October). Synthetically trained 3d visual tracker of underwater vehicles. In OCEANS 2018 MTS/IEEE Charleston (pp. 1-7). IEEE.
Holliday, A., and Dudek, G. (2018, October). Scale-Robust Localization Using General Object Landmarks. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1688-1694). IEEE.
Travis Manderson, Andrew Holliday, Gregory Dudek. (2018). Gaze Selection for Enhanced Visual Odometry During Navigation. In Proceedings of the Conference on Computer and Robot Vision (CRV 2018). The 2018 Conference on Computer and Robot Vision (CRV 2018), Toronto, Canada, 2018/5
Jimmy Li, Zhaoqi Xu, David Meger, Gregory Dudek. (2018). Semantic Scene Models for Visual Localization Under Large Viewpoint Changes. In Proceedings of the 15th Conference on Computer and Robot Vision (CRV 2018). The 2018 Conference on Computer and Robot Vision (CRV 2018), Toronto,, 2018/5
Florian Shkurti, Nikhil Kakodkar, Gregory Dudek. (2018). Model-Based Probabilistic Pursuit via Inverse Reinforcement Learning. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2018). The 2018 IEEE International Conference on Robotics and Automation (ICRA 2018), Sydney, Australia, 2018/5
Manderson, T., Higuera, J. C. G., Cheng, R., and Dudek, G. (2018, October). Vision-based autonomous underwater swimming in dense coral for combined collision avoidance and target selection. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1885-1891). IEEE.
Li, J., Xu, Z., Meger, D., and Dudek, G. (2018, May). Semantic Scene Models for Visual Localization under Large Viewpoint Changes. In 2018 15th Conference on Computer and Robot Vision (CRV) (pp. 174-181). IEEE.
Manjanna, S., van Hoof, H., and Dudek, G. (2018, August). Reinforcement Learning with Non-uniform State Representations for Adaptive Search. In 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) (pp. 1-7). IEEE.
Manderson, T., Holliday, A., and Dudek, G. (2018, May). Gaze selection for enhanced visual odometry during navigation. In 2018 15th Conference on Computer and Robot Vision (CRV) (pp. 110-117). IEEE.
Hansen, Johanna, Kyle Kastner, Aaron Courville, and Gregory Dudek. "Planning in Dynamic Environments with Conditional Autoregressive Models." arXiv preprint arXiv:1811.10097 (2018) (extended version of reviewed PGMRL workshop paper from ICML2017.)
2017
J. Sattar and G. Dudek,“Visual identification of biological motion for underwater human robot interaction,”, Autonomous Robots, pp. 1-14, 2017.
D. St-Onge, P.-Y. Brèches, I. Sharf, N. Reeves, I. Rekleitis, P. Abouzakhm, Y. Girdhar, A. Harmat, G. Dudek, and P. Giguère,“Control, localization and human interaction with an autonomous lighterthan-air performer,”, Robotics and Autonomous Systems, vol. 88, pp. 165–186, 2017.
Manderson, T., J. Li, D. C. Poza, N. Dudek, D. Meger, and G. Dudek, “Towards autonomous robotic coral reef health assessment,“ in Journal of Field and Service Robotics, vol. 34, no. 1, pp. 170–187, 2017
J. Li, D. Meger, and G. Dudek,“Context-coherent scenes of objects for camera pose estimation,” Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on, September 2017.
F. Shkurti, W.-D. Chang, P. Henderson, M. J. Islam, J. C. G. Higuera, J. Li, T. Manderson, A. Xu, G. Dudek, and J. Sattar, “Underwater multi-robot convoying using visual tracking by detection,” Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on, September 2017 (also available as arXiv preprint arXiv:1709.08292,).
F. Shkurti and G. Dudek,“Topologically distinct trajectory predictions for probabilistic pursuit,” Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on, September 2017.
S. Manjanna and G. Dudek,“Data-driven selective sampling for marine vehicles using multi-scale paths,” Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on, September 2017.
J. C. G. Higuera, D. Meger, and G. Dudek,“From simulation to the field: Learning to swim with the aqua robot,” ROSCon 2017, September 2017.
J. C. G. Higuera, D. Meger, and G. Dudek,“Adapting learned robotics behaviours through policy adjustment,” in Robotics and Automation (ICRA), 2017 IEEE International Conference on. IEEE, 2017, pp. 5837–5843.
A. Kalmbach, Y. Girdhar, H. M. Sosik, and G. Dudek,“Phytoplankton hotspot prediction with an unsupervised spatial community model,” arXiv preprint arXiv:1703.07309, 2017 (also appears as referred publication in Oceans 2017).
P. Henderson, W.-D. Chang, F. Shkurti, J. Hansen, D. Meger, and G. Dudek,“Benchmark environments for multitask learning in continuous domains,” 2017 (also appears as referred publication in IROS 2017).
