Gregory Dudek

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: Link to publication.

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. Link to publication

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) Link to PDF.

———. 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]. Link to PDF.

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. Link to publication.

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. Link to publication.

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).