Publications




Advancing autonomy in underwater manipulation with a deep learning visual dataset collected in cold seep environments of the Costa Rica Active Margin
Gideon Billings, Matthew Johnson-Roberson, and Richard Camilli
Conference Paper, Proceedings of American Geophysical Union Fall Meeting Abstracts, December, 2019
Deep survival machines: Fully parametric survival regression and representation learning for censored data with competing risks
Chirag Nagpal, Xinyu Li, and Artur Dubrawski
Workshop Paper, NeurIPS '19 Workshop on Machine Learning for Healthcare (ML4H '19), December, 2019
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning
Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, and Artur Dubrawski
Workshop Paper, NeurIPS '19 Workshop on Machine Learning for Healthcare (ML4H '19), December, 2019
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning
Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, and Artur Dubrawski
Workshop Paper, NeurIPS '19 Machine Learning for Health Workshop (ML4H '19), December, 2019
Estimation of Surface Reflectance and Mineral Composition by Combining In Situ and Remote Spectroscopic Measurements
Alberto Candela, David R. Thompson, Suhit Kodgule, Srinivasan Vijayarangan, Kevin Edelson, E. Z. Noe Dobrea, and David S. Wettergreen
Conference Paper, Proceedings of American Geophysical Union Fall Meeting, December, 2019
Explainable Semantic Mapping for First Responders
J. Oh, M. Hebert, H.-G. Jeon, X. Perez, C. Dai, and Y. Song
Workshop Paper, NeurIPS '19 Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, December, 2019
Generating Highly Predictive Probabilistic Models of Task Durations
I. K. Isukapati, C. Igoe, E. Bronstein, and S. F. Smith
Tech. Report, CMU-RI-TR-19-84, Robotics Institute, Carnegie Mellon University, December, 2019
High performance and safe flight of full-scale helicopters from takeoff to landing with an ensemble of planners
Sanjiban Choudhury, Vishal Dugar, Silvio Maeta, Brian MacAllister, Sankalp Arora, Daniel Althoff, and Sebastian Scherer
Journal Article, Journal of Field Robotics, Vol. 36, No. 8, pp. 1275 - 1332, December, 2019
Learning to Drive using Waypoints
Tanmay Agarwal, Hitesh Arora, Tanvir Parhar, Shubhankar Deshpande, and Jeff Schneider
Workshop Paper, NeurIPS '19 Machine Learning for Autonomous Driving Workshop, December, 2019
Mo'States Mo'Problems: Emergency Stop Mechanisms from Observation
Samuel Ainsworth, Matt Barnes, and Siddhartha Srinivasa
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 15156 - 15166, December, 2019
Mutually Regressive Point Processes
Ifigeneia Apostolopoulou, Scott W. Linderman, Kyle Miller, and Artur Dubrawski
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 5116 - 5127, December, 2019
Pairwise Feedback for Data Programming
Benedikt Boecking and Artur Dubrawski
Workshop Paper, NeurIPS '19 Workshop on Learning with Rich Experience (LIRE '19), December, 2019
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller
Pratyusha Sharma, Deepak Pathak, and Abhinav Gupta
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 2593 - 2603, December, 2019
Removing the i’s from i.i.d : Testing generalization on hard datasets
Swaminathan Gurumurthy
Master's Thesis, Tech. Report, CMU-RI-TR-19-81, Robotics Institute, Carnegie Mellon University, December, 2019
Safe control using energy functions: A unified framework, benchmark, and new directions
T. Wei and C. Liu
Conference Paper, Proceedings of IEEE Conference on Decision and Control (CDC '19), pp. 238 - 243, December, 2019
Hybrid Model for A Priori Performance Prediction of Multi-Job Type Swarm Search and Service Missions
Meghan Chandarana, Dana Hughes, Michael Lewis, Katia Sycara, and Sebastian Scherer
Conference Paper, Proceedings of 19th International Conference on Advanced Robotics (ICAR '19), pp. 714 - 719, December, 2019
Offline Contextual Bayesian Optimization
I. Char, Y. Chung, W. Neiswanger, K. Kandasamy, O. Nelson, M. Boyer, E. Kolemen, and J. Schneider
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 4627 - 4638, December, 2019
Adaptive Auxiliary Task Weighting for Reinforcement Learning
Xingyu Lin, Harjatin Baweja, George Kantor, and David Held
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 4773 - 4784, December, 2019
Autonomy for Ocean Worlds Exploration
Rebecca Castano, Thomas A. Cwik, William B. McKinnon, Bill Diamond, David S. Wettergreen, Jonathan D. Weinberg, Justin Ratner, Reid Simmons, Pablo Sobron, Geronimo L. Villanueva, and David Smyth
Conference Paper, Proceedings of American Geophysical Union Fall Meeting, December, 2019
Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study
Maxime Cannesson, Ira S. Hofer, Joseph B. Rinehart, Christine J. Lee, Kathirvel Subramaniam, Pierre Baldi, Artur Dubrawski, and Michael R. Pinsky
Journal Article, BMJ Open, Vol. 9, No. 12, December, 2019
Mosaicing of multiplanar regions through autonomous navigation of off‐the‐shelf quadcopter
Meghshyam G. Prasad, Sona Praneeth Akula, Anirudh Vemula, and Sharat Chandran
Journal Article, IET Cyber-systems and Robotics, Vol. 1, No. 3, pp. 81 - 92, December, 2019
Personalized collaborative plans for robot-assisted dressing via optimization and simulation
Ariel Kapusta, Zackory Erickson, Henry M. Clever, Wenhao Yu, C. Karen Liu, Greg Turk, and Charles C. Kemp
Journal Article, Autonomous Robots, Vol. 43, No. 8, pp. 2183 - 2207, December, 2019
Predicting tachycardia as a surrogate for instability in the intensive care unit
Joo Heung Yoon, Lidan Mu, Lujie Chen, Artur W. Dubrawski, Marilyn T. Hravnak, Michael R. Pinsky, and Gilles Clermont
Journal Article, Journal of Clinical Monitoring and Computing, Vol. 33, No. 6, pp. 973 - 985, December, 2019
Rechargeable Soft‐Matter EGaIn‐MnO2 Battery for Stretchable Electronics
Dongyie Liu, Laisuo Su, Jiahe Liao, B. Reeja‐Jayan, and Carmel Majidi
Journal Article, Advanced Energy Materials, Vol. 9, No. 46, December, 2019
Volumetric Correspondence Networks for Optical Flow
G. Yang and D. Ramanan
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, pp. 793 - 803, December, 2019
D-PAttNet: Dynamic patch-attentive deep network for action unit detection
Itir Onal Ertugrul, Le Yang, Laszlo A. Jeni, and Jeffrey F. Cohn
Journal Article, Frontiers in Computer Science, Vol. 1, No. 11, November, 2019
Design and Control of a Large Modular Robot Hexapod
Matt Martone
Master's Thesis, Tech. Report, CMU-RI-TR-19-79, Robotics Institute, Carnegie Mellon University, November, 2019
Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography
Mirko Gschwindt, Efe Camci, Rogerio Bonatti, Wenshan Wang, Erdal Kayacan, and Sebastian Scherer
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1107 - 1114, November, 2019
Improving Learning-based Ego-motion Estimation with Homomorphism-based Losses and Drift Correction
Xiangwei Wang, Daniel Maturana, Shichao Yang, Wenshan Wang, Qijun Chen, and Sebastian Scherer
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 970 - 976, November, 2019
Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments
Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, and Sebastian Scherer
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 229 - 236, November, 2019
Inferring Distributions Over Depth from a Single Image
Gengshan Yang, Peiyun Hu, and Deva Ramanan
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 6090 - 6096, November, 2019
Criteria for Maintaining Desired Contacts for Quasi-Static Systems
Yifan Hou and Matthew T. Mason
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 6555 - 6561, November, 2019
Stereo Visual Inertial LiDAR Simultaneous Localization and Mapping
Weizhao Shao, Srinivasan Vijayarangan, Cong Li, and George Kantor
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 370 -377, November, 2019
DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios
Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert, and In So Kweon
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 187 - 194, November, 2019
Homography-Based Deep Visual Servoing Methods for Planar Grasps
Austin S. Wang, Wuming Zhang, Daniel Troniak, Jacky Liang, and Oliver Kroemer
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 6570 - 6577, November, 2019
Maximum Likelihood Path Planning for Fast Aerial Maneuvers and Collision Avoidance
Ji Zhang, Chen Hu, Rushat Gupta Chadha, and Sanjiv Singh
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2805 - 2812, November, 2019
Minimum k-Connectivity Maintenance for Robust Multi-Robot Systems
Wenhao Luo and Katia Sycara
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 7370 - 7377, November, 2019
Non-myopic Planetary Exploration Combining In Situ and Remote Measurements
Suhit Kodgule, Alberto Candela, and David Wettergreen
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 536 - 543, November, 2019
A Robust Laser-Inertial Odometry and Mapping Method for Large-Scale Highway Environments
Shibo Zhao, Zheng Fang, HaoLai Li, and Sebastian Scherer
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1285 - 1292, November, 2019
A-EXP4: Online Social Policy Learning for Adaptive Robot-Pedestrian Interaction
Pengju Jin, Eshed Ohn-Bar, Kris Kitani, and Chieko Asakawa
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5086 - 5093, November, 2019
ALTRO: A Fast Solver for Constrained Trajectory Optimization
Taylor Howell, Brian Jackson, and Zac Manchester
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 7674 - 7679, November, 2019
An efficient and accurate algorithm for the perspective-n-point problem
L. Zhou and M. Kaess
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 6245 - 6252, November, 2019
Attention-based Hierarchical Deep Reinforcement Learning for Lane Change Behaviors in Autonomous Driving
Yilun C. Chen, Chiyu Dong, Praveen Palanisamy, Priyantha Mudalige, Katharina Muelling, and John M. Dolan
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3697 - 3703, November, 2019
Cooperative Schedule-Driven Intersection Control with Connected and Autonomous Vehicles
H-C. Hu, S. F. Smith, and R. Goldstein
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1668 - 1673, November, 2019
Degeneracy-aware factors with applications to underwater SLAM
Akshay Hinduja, Bing-Jui Ho, and Michael Kaess
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1293 - 1299, November, 2019
Dense, sonar-based reconstruction of underwater scenes
P. Teixeira, D. Fourie, M. Kaess, and J. Leonard
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 8060 - 8066, November, 2019
Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms
Chengqian Che, Zhou Xian, Xiangrui Zeng, Xin Gao, and Min Xu
Conference Paper, Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM '19), pp. 6 - 11, November, 2019
Following Social Groups: Socially-Compliant Autonomous Navigation in Dense Crowds
X. Yao, J. Zhang, and J. Oh
Workshop Paper, IROS '19 Cognitive Vehicles Workshop, November, 2019
Forecasting Time-to-Collision from Monocular Video: Feasibility, Dataset, and Challenges
Aashi Manglik, Xinshuo Weng, Eshed Ohn-Bar, and Kris Kitani
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 8081 - 8088, November, 2019
GPU Accelerated Robust Scene Reconstruction
Wei Dong, Jaesik Park, Yi Yang, and Michael Kaess
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 7863 - 7870, November, 2019