2023

J. Wang, X. Chen, X. Liu, and G. Dudek, 鈥淓liminating Space Scanning: Fast mmWave Beam Alignment with UWB Radios鈥�, 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, 鈥淩einforcement learning for communication load balancing: approaches and challenges鈥�, 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, 鈥淎NSEL Photobot: A Robot Event Photographer with Semantic Intelligence鈥�, 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, 鈥淗ypernetworks for zero- shot transfer in reinforcement learning鈥�, in Proceedings of the AAAI Conference on Artificial Intelli- gence, 2023, vol. 37, no. 8, pp. 95799587.

F. Lotfi, K. Virji, and G. Dudek, 鈥淩obust Scuba Diver Tracking and Recovery in Open Water Using YOLOv7, SORT, and Spiral Search鈥�, 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 鈥淎daTeacher: Adaptive Multi-Teacher Weighting for Communication Load Forecasting鈥�, 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. 鈥淟earning to Adapt: Communication Load Balancing via Adaptive Deep Reinforcement Learning,鈥� IEEE Global Commmunications Conference (GlobeCom), Dec. 2023.

D. Wu, Y.T. Xu, M. Jenkin, S. Jang, E. Hossain, X. Liu, G. Dudek, 鈥淓nergy Saving in Cellular Wireless Networks via Transfer Deep Reinforcement Learning,鈥� IEEE Global Commmunications Conference (GlobeCom), Dec. 2023.

D. Wu, Y.T. Xu, M. Jenkin, S. Jang, E. Hossain, X. Liu, G. Dudek, 鈥淓nergy Saving in Cellular Wireless Networks via Transfer Deep Reinforcement Learning,鈥� IEEE Global Commmunications Conference (GlobeCom), Dec. 2023.

H. Zhao, A. Pacheco, V. Strobel, A. Reina, X. Liu, G. Dudek, M. Dorigo. 鈥淎 Generic Framework for Byzantine-tolerant Consensus Achievement in Robot Swarms鈥�, Proc. IEEE/RSJ International Conference on Robotics and Systems (IROS), Oct. 2023, 8 pages.

H. Zhao, X. Liu, G. Dudek. 鈥淶ero-shot Fault Detection for Manipulators through Bayesian Inverse Reinforcement Learning鈥�, 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, 鈥淢ultiagent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks鈥�, 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, 鈥淎NSEL Photobot: A Robot Event Photographer with Semantic Intelligence鈥�, 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, 鈥淧olicy Reuse for Com- munication Load Balancing in Unseen Traffic Scenarios鈥�, 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, 鈥淭raffic scenario clustering and load balancing with distilled reinforcement learning policies鈥�. Apr. 20, 2023

A. Konar, D. Wu, Y. Tian Xu, S. Jang, S. Liu, G. Dudek. 鈥淐ommunication Load Balancing via Efficient Inverse Reinforcement Learning鈥�, IEEE International Conference on Communications (ICC) 2023, Rome, Italy.

I. Kozlov, D. Rivkin, W.-D. Chang, D. Wu, X. Liu, G. Dudek. 鈥淪elf-Supervised Transformer Architecture for Change Detection in Radio Access Networks鈥�, 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. 鈥淢ixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Net- works鈥�, Proc. IEEE International Conference on Communications (ICC), 2023.

J. Kang, D. Wu, J. Wang, E. Hossain, X. Liu, G. Dudek. 鈥淢ulti-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks鈥�, 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. 鈥淒evice-Free Human State Estimation using UWB Multi-Static Radios鈥� DOI: arXiv:2401.05410. Submitted 26 December, 2023.

J. Li, I. Kozlov, D. Wu, X. Liu, G. Dudek. 鈥淎nomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization鈥�, DOI: arXiv:2312.03277. Submitted 5 December, 2023.

O. Limoyo, A. Konar, T. Ablett, J. Kelly, F.R. Hogan, G. Dudek. 鈥淲orking Backwards: Learning to Place by Picking鈥�, DOI: arXiv:2312.02352. Submitted 4 December, 2023.

J.-F. Tremblay, D. Meger, F. Hogan, G. Dudek. 鈥淟earning active tactile perception through belief-space control鈥�, DOI: arXiv:2312.00215. Submitted 30 November, 2023.

P.-Y. Lajoie, B.H. Baghi, S. Herath, F. Hogan, X. Liu, G. Dudek. 鈥淧EOPLEx: PEdestrian Opportunistic Positioning LEveraging IMU, UWB, BLE and WiFi鈥�. DOI: arXiv:2311.18182. Submitted 29 November, 2023.

C. Morissette, B.H. Baghi, F.R. Hogan, G. Dudek. 鈥淎 Study of Human-Robot Handover through Human-Human Object Transfer鈥�, DOI: arXiv:2311.13021. Submitted 21 November, 2023.

W.-D. Chang, F. Hogan, D. Meger, G. Dudek. 鈥淕eneralizable Imitation Learning Through Pre-Trained Representations鈥�, DOI: arXiv:2311.09350. Submitted 15 November, 2023.

T. Ablett, O. Limoyo, A. Sigal, A. Jilani, J. Kelly, K. Siddiqi, F. Hogan, G. Dudek. 鈥淢ultimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor鈥�, DOI: arXiv:2311.01248. Submitted 22 December, 2023.

J. Luo, Y.T. Xu, D. Wu, M. Jenkin, X. Liu, G. Dudek. 鈥淎daptive Dynamic Programming for Energy-Efficient Base Station Cell Switching鈥�, DOI: arXiv:2310.12999. Submitted 30 October, 2023.

D. Yuan, E. Hossain, D. Wu, X. Liu, G. Dudek. 鈥淩ealizing XR Applications Using 5G-Based 3D Holographic Communication and Mobile Edge Computing鈥�, DOI: arXiv:2310.03908. Submitted 5 October, 2023.

W.-D. Chang, S. Fujimoto, D. Meger, G. Dudek. 鈥淚mitation Learning from Observation through Optimal Transport鈥�, DOI: arXiv:2310.01632. Submitted 2 October, 2023.

F. Lotfi, K. Virji, F. Faraji, L. Berry, A. Holliday, D. Meger, G. Dudek. 鈥淯ncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model鈥�, DOI: arXiv:2310.00760. Submitted 1 October, 2023.

A. Feriani, D. Wu, S. Liu, G. Dudek. 鈥淐eBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation鈥�, DOI: arXiv:2306.13761. Submitted 13 November, 2023.

A. Holliday, G. Dudek. 鈥淣eural Bee Colony Optimization: A Case Study in Public Transit Network Design鈥�, DOI: arXiv:2306.00720. Submitted 18 May, 2023.

A. Konar, D. Wu, Y.T. Xu, S. Jang, S. Liu, G. Dudek. 鈥淐ommunication Load Balancing via Efficient Inverse Reinforcement Learning鈥�, DOI: arXiv:2303.16686. Submitted 22 March, 2023.

Y.T. Xu, J. Li, D. Wu, M. Jenkin, S. Jang, X. Liu, G. Dudek. 鈥淧olicy Reuse for Communication Load Balancing in Unseen Traffic Scenarios,鈥� DOI: arXiv:2303.16685. Submitted 22 March, 2023.

D. Yuan, Y. Nam, A. Feriani, A. Konar, D. Wu, S. Jang, X. Liu, G. Dudek. 鈥淢ixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks,鈥� DOI: arXiv:2303.13686. Submitted 23 March, 2023.

J. Kang, D. Wu, J. Wang, E. Hossain, X. Liu, G. Dudek. 鈥淢ulti-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks,鈥� DOI: arXiv:2303.08003. Submitted 14 March, 2023.

D. Rivkin, G. Dudek, N. Kakodkar, D. Meger, O. Limoyo, X. Liu, F. Hogan. 鈥淎NSEL Photobot: A Robot Event Photographer with Semantic Intelligence鈥�, DOI: arXiv:2302.07931. Submitted 15 February, 2023.

I. Kozlov, D. Rivkin, W.-D. Chang, D. Wu, X. Liu, G. Dudek. 鈥淪elf-Supervised Transformer Architecture for Change Detection in Radio Access Networks鈥�, 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. 鈥淗ypernetworks for Zero-shot Transfer in Reinforcement Learning鈥�, DOI: arXiv:2211.15457. Submitted 2 January, 2023.

2022

Bobak H Baghi et al. 鈥淪ESNO: Sample Efficient Social Navigation from Observation鈥�. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. 2022, pp. 9164鈥�9171.

Wei-Di Chang et al. 鈥淚l-flow: Imitation learning from observation using normalizing flows鈥�. In: arXiv preprint arXiv:2205.09251 (2022).

Xi Chen et al. 鈥淔idora: Robust WiFi-based indoor localization via unsupervised domain adaptation鈥�. In: IEEE Internet of Things Journal 9.12 (2022), pp. 9872鈥�9888.

HU Chengming et al. Communication load forecasting accuracy with adaptive feature boosting. US Patent App. 17/570,767. 2022.

Amal Feriani et al. 鈥淢ultiobjective load balancing for multiband downlink cellular networks: A meta-reinforcement learning approach鈥�. In: IEEE Journal on Selected Areas in Communications 40.9 (2022), pp. 2614鈥� 2629.

Johanna Hansen et al. 鈥淰isuotactile-rl: learning multimodal manipulation policies with deep reinforcement learning鈥�. In: 2022 International Conference on Robotics and Automation (ICRA). IEEE. 2022, pp. 8298鈥� 8304.

Francois R Hogan et al. 鈥淔inger-sts: Combined proximity and tactile sensing for robotic manipulation鈥�. In: IEEE Robotics and Automation Letters 7.4 (2022), pp. 10865鈥�10872.

Chengming Hu et al. 鈥淎ccurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting鈥�. In: GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE. 2022, pp. 2316鈥�2321.

Mostafa Hussien et al. 鈥淓fficient Neural Data Compression for Machine Type Communications via Knowledge Distillation鈥�. In: GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE. 2022, pp. 1169鈥�1174.

Jikun Kang et al. 鈥淎 Generalized Load Balancing Policy With Multi-Teacher Reinforcement Learning鈥�. In: GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE. 2022, pp. 3096鈥�3101.

Hang Li et al. 鈥淒ata-Efficient Communication Traffic Prediction With Deep Transfer Learning鈥�. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 3190鈥�3195.

Hang Li et al. 鈥淐ommunication Traffic Prediction with Continual Knowledge Distillation鈥�. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 5481鈥� 5486.

Jimmy Li et al. 鈥淭raffic scenario clustering and load balancing with distilled reinforcement learning policies鈥�. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 1536鈥�1541.

Manyou Ma et al. 鈥淐oordinated load balancing in mobile edge computing network: a multi-agent drl approach鈥�. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 619鈥�624.

Sahand Rezaei-Shoshtari et al. 鈥淗ypernetworks for zero-shot transfer in reinforcement learning鈥�. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 37. 8. 2023, pp. 9579鈥�9587.

Di Wu et al. 鈥淎ctive deep multi-task learning for forecasting short-term loads鈥�. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 5523鈥�5529.

Di Wu et al. 鈥淎ttentive Knowledge Transfer for Short-term Load Forecasting鈥�. In: GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE. 2022, pp. 5285鈥�5291.

Di Wu et al. 鈥淪hort-term load forecasting with deep boosting transfer regression鈥�. In: ICC 2022-IEEE International Conference on Communications. IEEE. 2022, pp. 5530鈥�5536.

Hanging Zhao et al. 鈥淏ehaviour Learning with Adaptive Motif Discovery and Interacting Multiple Model鈥�. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. 2022, pp. 10788鈥� 10794.

Sandeep Manjanna, M Ani Hsieh, and Greogory Dudek. 鈥淪calable multirobot planning for informed spatial sampling鈥�. In: Autonomous Robots 46.7 (2022), pp. 817鈥�829.

2021

F. Hogan, M. Jenkin, G.L. Dudek, Y. Girdhar, S. Rezaei-Shoshtari, and D. Meger. 鈥淪emitransparent tactile surface sensor and a method of sensing an interaction with an object using the semitransparent tactile surface sensor,鈥� US Patent App. 17/139,642, 2021.

S. Wapnick, T. Manderson, D. Meger, and G. Dudek. 鈥淭rajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain,鈥� 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. 鈥淥ne for All: Traffic Prediction at Heterogeneous 5G Edge with Data- Efficient Transfer Learning,鈥� 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. 鈥淟oad Balancing for Communication Networks via Data- Efficient Deep Reinforcement Learning,鈥� 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. 鈥淎FB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting,鈥� 2021 IEEE Global Communications Conference (GLOBECOM), 01- 06, 2021.

D. Rivkin, D. Meger, D. Wu, X. Chen, X. Liu, G. Dudek. 鈥淟earning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform,鈥� 2021 IEEE Global Communications Conference (GLOBECOM), 1-7, 2021.

J. Hansen, K. Virji, T. Manderson, D. Meger, and G. Dudek. 鈥淒RIFT-NCRN: A Benchmark Dataset for Drifter Trajectory Prediction,鈥� 2021.

M. Rezanejad, B. Samari, E. Karimi, I. Rekleitis, G. Dudek, and K. Siddiqi. 鈥淎verage Outward Flux Skeletons for Environment Mapping and Topology Matching,鈥� arXiv preprint arXiv:2111.13826, 2021.

M.J. Roshtkhari, J.C.G. Higuera, and G.L. Dudek. 鈥淪ystems and methods for automated camera calibration,鈥� US Patent 11,176,706, 12, 2021.

Y. Huang, Y. Yao, J. Hansen, J. Mallette, S. Manjanna, G. Dudek, and D. Meger. 鈥淎n Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles,鈥� arXiv preprint arXiv:2110.14738, 2021.

D. Wu, T. Li, D. Meger, M. Jenkin, X. Liu, and G. Dudek. 鈥淢ulti-batch Reinforcement Learning via Sample Transfer and Imitation Learning,鈥� 2021.

J. Kang, X. Chen, J. Wang, C. Hu, X. Liu, and G. Dudek, 鈥淢OBA: Multi-teacher Model Based Reinforcement Learning,鈥� 2021.

B.H. Baghi and G. Dudek. 鈥淪ample Efficient Social Navigation Using Inverse Reinforcement Learning,鈥� arXiv preprint arXiv:2106.10318, 1, 2021

F. Shkurti, G. Dudek, Y. Abeysirigoonawardena, E.A. Abolfathi, and J. Luo. 鈥淚terative generation of adversarial scenarios,鈥� US Patent 11,036,232, 2021.

J. Kang, X. Chen, D. Wu, Y.T. Xu, X. Liu, G. Dudek, T. Lee, and I. Park. 鈥淗ierarchical Policy Learning for Hybrid Communication Load Balancing,鈥� ICC 2021- IEEE International Conference on Communications, 1-6, 2, 2021

J. Wang, X. Chen, X. Liu, and G. Dudek. 鈥淯WBAssisted Fast mmWave Beam Alignment,鈥� ICC 2021- IEEE International Conference on Communications, 1-6, 2021

Y. Girdhar, D. Rivkin, D. Wu, M. Jenkin, X. Liu, and G. Dudek. 鈥淥ptimizing Cellular Networks via Continuously Moving Base Stations on Road Networks,鈥� 2021 IEEE International Conference on Robotics and Automation (ICRA), 4020-4025, 2021

J.F. Tremblay, T. Manderson, A. Noca, G. Dudek, and D. Meger. 鈥淢ultimodal dynamics modeling for offroad autonomous vehicles,鈥� 2021 IEEE International Conference on Robotics and Automation (ICRA), 1796-1802, 1, 2021.

S. Manjanna, M.A. Hsieh, and G. Dudek. 鈥淪calable Multi-Robot System for Non-myopic Spatial Sampling,鈥� arXiv preprint arXiv:2105.10018, 2021.

S. Rezaei-Shoshtari, F.R. Hogan, M. Jenkin, D. Meger, and G. Dudek. 鈥淟earning Intuitive Physics with Multimodal Generative Models,鈥� 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. 鈥淪ystem and method for wifi-based indoor localization via unsupervised domain adaptation,鈥� US Patent App. 16/913,493, 1, 2021.

A. Holliday and G. Dudek. 鈥淪cale-invariant localization using quasi-semantic object landmarks,鈥� Autonomous Robots 45 (3), 407-420, 2021.

A. Konar, B.H. Baghi, and G. Dudek. 鈥淟earning goal conditioned socially compliant navigation from demonstration using risk-based features,鈥� 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. 鈥淪eeing through your skin: Recognizing objects with a novel visuotactile sensor,鈥� 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. 鈥淔iDo: Ubiquitous Fine-Grained WiFi-Based Localization for Unlabelled Users via Domain Adaptation,鈥� Proceedings of The Web Conference 2020 (WWW 鈥�20), Taipei, Taiwan, Association for Computing Machinery, pp. 23-33, 2020.

Cheng, Ran, Christopher Agia, David Meger, and Gregory Dudek. 鈥淒epth Prediction for Monocular Direct Visual Odometry.鈥� 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. 鈥淒y- namic Planning of Redundant Robots within a Set-Based Task-Priority Inverse Kinematics Frame- work.鈥� In 2020 IEEE Conference on Control Technology and Applications (CCTA), 549-54. IEEE, 2020.

Holliday, Andrew, and Gregory Dudek. 鈥淧re-Trained CNNs as Visual Feature Extractors: A Broad Evaluation.鈥� 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. 鈥淒eepURL: Deep Pose Estimation Framework for Underwater Relative Localization.鈥� 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. 鈥淥ne-Shot Informed Robotic Visual Search in the Wild.鈥� In Proc. IEEE/RSJ International Conference on Robotics and Systems (IROS 2020), 2020.

Jimmy, Karim Koreitem, David Meger, and Gregory Dudek. 鈥淰iew-Invariant Loop Closure with Oriented Semantic Landmarks.鈥� 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. 鈥淰ision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles.鈥� In Proceeding of Robotics Science and Systems, Vol. 16, 2020.

Manderson, Travis, Stefan Wapnick, Dave Meger, and Gregory Dudek. 鈥淟earning to Drive Off-Road on Smooth Terrains in Unstructured Environments Using an Onboard Camera and Sparse Aerial Images.鈥� 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. 鈥淐apturing Attention with Wind.鈥� In Workshop on Approaches to Advance Physical Human-Robot Interaction (AVHC)., 2. (Best paper award) .

鈥斺�斺��. 2020b. 鈥淥ut of My Way! Exploring Different Modalities for Robots to Ask People to Move Out of the Way.鈥� 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. 鈥淪eeing Through Your Skin: Recognizing Objects with a Novel Visuotactile Sensor.鈥� In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 1218鈥�27.

Li, Jimmy, Karim Koreitem, David Meger, and Gregory Dudek. 2020. 鈥淰iew-Invariant Loop Closure with Oriented Semantic Landmarks.鈥� In 2020 IEEE International Conference on Robotics and Automation (ICRA), 7943鈥�49. IEEE.

鈥斺�斺��. 2020b. 鈥淰ision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles.鈥� In Proceeding of Robotics Science and Systems. Vol. 16.

Manderson, Travis, Stefan Wapnick, David Meger, and Gregory Dudek. 2020. 鈥淟earning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images.鈥� 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. 鈥淟earning Intuitive Physics with Multimodal Generative Models.鈥� 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. 鈥淭he Answer Is Blowing in the Wind: Directed Air Flow for Socially-Acceptable Human-Robot Interaction:鈥� In Proceedings of the International Conference on Robotics, Computer Vision and Intelligent Systems, 106鈥�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.. 鈥淒eepURL: Deep Pose Estimation Framework for Underwater Relative Localization.鈥� Proc Int Conf on Robots and Systems (IROS). 2020. 8 pages.

Manderson, Travis, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-Fran莽ois Tremblay, Florian Shkurti, David Meger, and Gregory Dudek. 2020a. 鈥淰ision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles.鈥� ArXiv Preprint ArXiv:2006.16235.

Tremblay, Jean-Fran莽ois, Travis Manderson, Aur茅lio Noca, Gregory Dudek, and David Meger. 2020. 鈥淢ultimodal Dynamics Modeling for Off-Road Autonomous Vehicles.鈥� 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,鈥淰isual identification of biological motion for underwater human robot interaction,鈥�, Autonomous Robots, pp. 1-14, 2017.

D. St-Onge, P.-Y. Br猫ches, I. Sharf, N. Reeves, I. Rekleitis, P. Abouzakhm, Y. Girdhar, A. Harmat, G. Dudek, and P. Gigu猫re,鈥淐ontrol, localization and human interaction with an autonomous lighterthan-air performer,鈥�, Robotics and Autonomous Systems, vol. 88, pp. 165鈥�186, 2017.

Manderson, T., J. Li, D. C. Poza, N. Dudek, D. Meger, and G. Dudek, 鈥淭owards autonomous robotic coral reef health assessment,鈥� in Journal of Field and Service Robotics, vol. 34, no. 1, pp. 170鈥�187, 2017

J. Li, D. Meger, and G. Dudek,鈥淐ontext-coherent scenes of objects for camera pose estimation,鈥� 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, 鈥淯nderwater multi-robot convoying using visual tracking by detection,鈥� 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,鈥淭opologically distinct trajectory predictions for probabilistic pursuit,鈥� Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on, September 2017.

S. Manjanna and G. Dudek,鈥淒ata-driven selective sampling for marine vehicles using multi-scale paths,鈥� Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on, September 2017.

J. C. G. Higuera, D. Meger, and G. Dudek,鈥淔rom simulation to the field: Learning to swim with the aqua robot,鈥� ROSCon 2017, September 2017.

J. C. G. Higuera, D. Meger, and G. Dudek,鈥淎dapting learned robotics behaviours through policy adjustment,鈥� in Robotics and Automation (ICRA), 2017 IEEE International Conference on. IEEE, 2017, pp. 5837鈥�5843.

A. Kalmbach, Y. Girdhar, H. M. Sosik, and G. Dudek,鈥淧hytoplankton hotspot prediction with an unsupervised spatial community model,鈥� 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,鈥淏enchmark environments for multitask learning in continuous domains,鈥� 2017 (also appears as referred publication in IROS 2017).