Publications




Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring
Mononito Goswami, Lujie Chen, Chufan Gao, and Artur Dubrawski
Conference Paper, Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI '20) (Student Abstract Track), pp. 13799 - 13800, February, 2020
Modular Robot Design Synthesis with Deep Reinforcement Learning
Julian Whitman, Raunaq M. Bhirangi, Matthew J. Travers, and Howie Choset
Conference Paper, Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI '20), pp. 10418 - 10425, February, 2020
Probabilistic Super Resolution of Remote Mineral Spectroscopy
A. Candela, D. Thompson, D. Wettergreen, K. Cawse-Nicholson, S. Geier, M. Eastwood, and R. Green
Conference Paper, Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI '20), Vol. 34, No. 8, pp. 13241 - 13247, February, 2020
Robust Multi-View Representation Learning
Sibi Venkatesan, James K. Miller, and Artur Dubrawski
Conference Paper, Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI '20) (Student Abstract Track), pp. 13939 - 13940, February, 2020
Sample-Based Robust Uncertainty Propagation for Entry Vehicles
Remy Derollez and Zac Manchester
Conference Paper, Proceedings of 43rd Annual AAS Guidance, Navigation and Control Conference, February, 2020
When human-computer interaction meets community citizen science
Yen-Chia Hsu and Illah Nourbakhsh
Journal Article, Communications of the ACM, Vol. 63, No. 2, pp. 31 - 34, February, 2020
Combining Deep Learning and Verification for Precise Object Instance Detection
Junyu Nan
Master's Thesis, Tech. Report, CMU-RI-TR-19-85, Robotics Institute, Carnegie Mellon University, January, 2020
Personalized and Weakly Supervised Learning for Parkinson’s Disease Symptom Detection
Ada Zhang
PhD Thesis, Tech. Report, CMU-RI-TR-20-01, Robotics Institute, Carnegie Mellon University, January, 2020
3D-SiamRPN: An End-to-end Learning Method for Real-time 3D Single Object Tracking using Raw Point Cloud
Fang Z, Zhou S, Cui Y, and Scherer S
Journal Article, IEEE Sensors Journal, 2020
Human-in-the-loop Planning and Monitoring of Swarm Search and Service Missions
Chandarana M, Lewis M, Sycara K, and Scherer S
Conference Paper, Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'2020), 2020
RGB-D SLAM in Dynamic Environments Using Point Correlations
Dai W, Zhang Y, Li P, Fang Z, and Scherer S
Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Graph Optimization Approach to Range-Based Localization
Xu Fang, Chen Wang, Thien-Minh Nguyen, and Lihua Xie
Journal Article, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
Predicting Delayed Cerebral Ischemia using Sequential Patterns in Plethysmography Data
Xinyu Li, Michael Pinsky, Marilyn Hravnak, and Artur Dubrawski
Journal Article, Critical Care Medicine, Vol. 48, No. 1, pp. 366, 2020
Ground Up Design of a Multi-modal Object Detection System
Vasu Agrawal
Master's Thesis, Tech. Report, CMU-RI-TR-19-80, Robotics Institute, Carnegie Mellon University, December, 2019
Self-Supervised Learning on Mobile Robots Using Acoustics, Vibration, and Visual Models to Build Rich Semantic Terrain Maps
Jacqueline Libby
PhD Thesis, Tech. Report, CMU-RI-TR-19-82, Robotics Institute, Carnegie Mellon University, December, 2019
Airborne Collision Avoidance Systems with Probabilistic Safety Barrier Certificates
Wenhao Luo and Ashish Kapoor
Workshop Paper, NeurIPS '19 Workshop on Safety and Robustness in Decision-making, December, 2019
Active Learning for Graph Neural Networks via Node Feature Propagation
Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, and Artur Dubrawski
Workshop Paper, NeurIPS '19 Graph Representation Learning Workshop (GRL '19), December, 2019
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