Publications




Virtual Navigation for Blind People: Transferring Route Knowledge to the Real-World
Joao Guerreiro, Kris Kitani, Daisuke Sato, Eshed Ohn-Bar, Chieko Asakawa, and Dragan Ahmetovic
Journal Article, International Journal of Human-Computer Studies, Vol. 135, March, 2020
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions
Kashyap Chitta, Jose M. Alvarez, and Martial Hebert
Conference Paper, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV '20), pp. 2009 - 2018, March, 2020
Toward automated interpretation of electromyography for intraoperative neurophysiological monitoring using machine learning
Xuefan Zha, Leila Wehbe, Robert J. Sclabassi, Zachary Mace, Ye V. Liang, Todd A. Hillman, Douglas A. Chen, Alexander Yu, Jody Leonardo, Boyle C. Cheng, and Cameron N. Riviere
Tech. Report, CMU-RI-TR-20-07, Robotics Institute, Carnegie Mellon University, March, 2020
Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks
Brian M. Hopkinson, Andrew C King, D. Owen, M. Johnson-Roberson, M. Long, and S. Bhandarkar
Journal Article, PLoS ONE, Vol. 15, No. 3, March, 2020
Directional Compliance in Snake Robot Obstacle-Aided Locomotion
Tianyu Wang, Julian Whitman, Matthew Travers, and Howie Choset
Conference Paper, Proceedings of APS March Meeting: Session U22: Robophysics II, March, 2020
Inkjet Printing of Curing Agent on Thin PDMS for Local Tailoring of Mechanical Properties
Naser Naserifar, Saigopalakrishna S. Yerneni, Lee E. Weiss, and Gary K. Fedder
Journal Article, Macromolecular Rapid Communications, Vol. 41, No. 5, March, 2020
Model AI Assignments 2020
Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hoenig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebatian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Johnathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, and Matthew Evett
Conference Paper, Proceedings of 10th Symposium on Educational Advances in Artificial Intelligence (EAAI '20), Vol. 34, No. 9, pp. 13509 - 13511, February, 2020
Active robot-assisted feeding with a general-purpose mobile manipulator: Design, evaluation, and lessons learned
Daehyung Park, Yuuna Hoshi, Harshal P. Mahajan, Ho Keun Kima, Zackory Erickson, Wendy A. Rogers, and Charles C. Kemp
Journal Article, Robotics and Autonomous Systems, Vol. 124, February, 2020
Automated Design of Robotic Hands for In-Hand Manipulation Tasks
Christopher Hazard, Nancy Pollard, and Stelian Coros
Journal Article, International Journal of Humanoid Robotics, Vol. 17, No. 1, February, 2020
Design and Control of Foam Hands for Dexterous Manipulation
Dominik Bauer, Cornelia Bauer, Jonathan P. King, Daniele Moro, Kai-Hung Chang, Stelian Coros, and Nancy Pollard
Journal Article, International Journal of Humanoid Robotics, Vol. 17, No. 1, February, 2020
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-supervised Approach Using Involuntary Dynamic Behavioral Signals
Mononito Goswami, Lujie Chen, and Artur Dubrawski
Conference Paper, Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI '20) (AI for Social Impact Track), pp. 420 - 427, February, 2020
Efficient Representation of Ducts and Cluttered Spaces for Realistic Motion Planning of Hyper-Redundant Robots through Confined Paths
Ashwin Prabhakaran, Arkadeep Narayan Chaudhury, and Ashitava Ghosal
Journal Article, Computer-Aided Design, Vol. 119, February, 2020
Feasibility of discriminating UAV propellers noise from distress signals to locate people in enclosed environments using MEMS microphone arrays
Alberto Izquierdo, Lara Del Val, Juan J. Villacorta, Weikun Zhen, Sebastian Scherer, and Zheng Fang
Journal Article, Sensors: Special Issue - Sensors for Unmanned Aircraft Systems and Related Technologies, Vol. 20, No. 3, pp. 597, February, 2020
First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning
Nicholas Rhinehart and Kris M. Kitani
Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 42, No. 2, pp. 304 - 317, February, 2020
Jumping the Line Charitably: Analysis and Remedy of Donor-Priority Rule
Tinglong Dai, Ronghuo Zheng, and Katia Sycara
Journal Article, Management Science, Vol. 66, No. 2, pp. 622 - 641, February, 2020
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