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Publications2018-03-12T13:44:38-04:00

Publications

Displaying 8837 Publications
Analytically modeling unmanaged intersections with microscopic vehicle interactions
Changliu Liu and Mykel J. Kochenderfer

Conference Paper, Intelligent Transportation Systems Conference (ITSC), April, 2019
Learning to Segment Corneal Tissue Interfaces in OCT Images
T. Mathai, K. Lathrop and J. Galeotti,

Conference Paper, IEEE International Symposium on Biomedical Imaging (ISBI), accepted, April, 2019
Algorithms for verifying deep neural networks
Changliu Liu, Tomer Arnon, Christopher Lazarus, Clark Barrett and Mykel J. Kochenderfer

Miscellaneous, March, 2019
Simulating emergent properties of human driving behavior using multi-agent RAIL
Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Driggs-Campbell and Mykel J. Kochenderfer

Conference Paper, IEEE International Conference on Robotics and Automation (ICRA), 2019, March, 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth Order Optimization Perspective
Anirudh Vemula, Wen Sun and J. Andrew Bagnell

Conference Paper, Proceedings of The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), March, 2019
Enabling robots to communicate their objectives
Sandy H. Huang, David Held, Pieter Abbeel and Anca D. Dragan

Journal Article, Autonomous Robots, Vol. 43, No. 2, February, 2019
Minding the Gaps in a Video Action Analysis Pipeline
Jia Chen, Jiang Liu, Junwei Liang, Ting-Yao Hu, Wei Ke, Wayner Barrios, Dong Huang and Alexander G Hauptmann

Conference Paper, IEEE Winter Applications of Computer Vision Workshops (WACVW), February, 2019
Sensorless Pose Determination using Randomized Action Sequences
Pragna Mannam, Alexander Volkov Volkov, Jr., Robert Paolini, Gregory Chirikjian and Matthew T. Mason

Journal Article, Entropy, Vol. 21, No. 2, pp. 154, February, 2019
FA*ST: Deep Inverse Reinforcement Learning for Generating Cost Maps from Aerial-View Images
Y. Song, X. Perez and J. Oh

Miscellaneous, CMU Invention Disclosure 2019-088, February, 2019
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark
Akshat Agarwal, Ryan Hope and Katia Sycara

Conference Paper, AAAI 2019: Reinforcement Learning in Games workshop, January, 2019
Vision Augmented Robot Feeding
Alexandre Candeias, Travers Rhodes, Manuel Marques, Joao P Costeira and Manuela Veloso

Conference Paper, ECCV 2018: Computer Vision – ECCV 2018 Workshops, pp. 50-65, January, 2019
Learning with Clusters
Matthew Barnes

PhD Thesis, Tech. Report, CMU-RI-TR-19-02, January, 2019
Sensing, Measuring, and Modeling Social Signals in Nonverbal Communication
Hanbyul Joo

PhD Thesis, Tech. Report, CMU-RI-TR-19-01, January, 2019
Photo-Sketching: Inferring Contour Drawings from Images
Mengtian Li, Zhe Lin, Radomír Měch, Ersin Yumer and Deva Ramanan

Conference Paper, WACV, January, 2019
Learning Robust Manipulation Strategies with Multimodal State Transition Models and Recovery Heuristics
Austin S. Wang and Oliver Kroemer

Conference Paper, International Conference on Robotics and Automation (ICRA), January, 2019
DPSNet: End-to-end Deep Plane Sweep Stereo
Sunghoon Im, Hae-Gon Jeon, Stephen Lin and In So Kweon

Conference Paper, International Conference on Learning Representations (ICLR), December, 2018
Predictive Control of Constrained Nonlinear Systems
Lauren Lieu

Master's Thesis, Tech. Report, CMU-RI-TR-18-47, December, 2018
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu, Debadeepta Dey, Martial Hebert and J. Andrew Bagnell

Conference Paper, AAAI-19: Thirty-third AAAI Conference on Artificial Intelligence, December, 2018
Robust Depth Estimation using Auto-Exposure Bracketing
Sunghoon Im, Hae-Gon Jeon and In So Kweon

Journal Article, IEEE Transactions on Image Processing (TIP), December, 2018
Beyond Grids: Learning Graph Representations for Visual Recognition
Yin Li and Abhinav Gupta

Conference Paper, Proceedings of the 32nd International Conference on Neural Information Processing Systems (NIPS '18), December, 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Tao Chen, Adithya Murali and Abhinav Gupta

Conference Paper, Proceedings of the 32nd International Conference on Neural Information Processing Systems (NIPS '18), pp. 9355 - 9366, December, 2018
Robot learning in homes: Improving generalization and reducing dataset bias
Abhinav Gupta, Adithya Murali, Dhiraj Gandhi and Lerrel Pinto

Conference Paper, Proceedings of the 32nd International Conference on Neural Information Processing Systems (NIPS '18), pp. 9112 - 9122, December, 2018
Learning to Learn From Simulation: Using simulations to learn faster on robots
Akshara Rai

PhD Thesis, Tech. Report, CMU-RI-TR-18-65, November, 2018
Fast robot motion planning with collision avoidance and temporal optimization
Hsien-Chung Lin, Changliu Liu and Masayoshi Tomizuka

Conference Paper, International Conference on Control, Automation, Robotics and Vision (ICARCV), November, 2018
A Multimodal Dialogue System for Conversational Image Editing
T.-H. Lin, T. Bui, D. S. Kim and J. Oh

Conference Paper, The Second Workshop on Conversational AI at the Thirty-second Conference on Neural Information Processing Systems (NeurIPS 2018), November, 2018
Organ-mounted robot localization via function approximation
Nathan A. Wood, David Schwartzman, Michael J. Passineau, M. Scott Halbreiner, Robert J. Moraca, Marco A. Zenati and Cameron N. Riviere

Journal Article, International Journal of Medical Robotics and Computer Assisted Surgery, pp. e1971, November, 2018
Precision UAV Landing in Unstructured Environments
Kevin Pluckter and Sebastian Scherer

Conference Paper, Internation Symposium on Experimental Robotics, November, 2018
A Unified 3D Mapping Framework using a 3D or 2D LiDAR
Weikun Zhen and Sebastian Scherer

Conference Paper, International Symposium on Experimental Robotics, November, 2018
Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures
Ryo Yonetani, Kris M. Kitani and Yoichi Sato

Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2018), November, 2018
First-Person Activity Forecasting from video with Online Inverse Reinforcement Learning
Nicholas Rhinehart and Kris Kitani

Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2018), November, 2018
Search-based Planning Library (SBPL) including a collection of graph searches and planners that utilize these graph searches
Maxim Likhachev

Miscellaneous, software - open-source and is available under http://www.sbpl.net (under software tab), November, 2018
Personalized Dynamics Models for Adaptive Assistive Navigation Systems
Eshed Ohn-Bar, Kris Kitani and Chieko Asakawa

Conference Paper, Conference on Robot Learning, October, 2018
Safe Data Gathering in Physical Spaces
Sankalp Arora

PhD Thesis, Tech. Report, CMU-RI-TR-18-64, October, 2018
Learning Audio Feedback for Estimating Amount and Flow of Granular Material
Samuel Clarke, Travers Rhodes, Christopher Atkeson and Oliver Kroemer

Conference Paper, Conference on Robot Learning, Vol. 87, pp. 529-550, October, 2018
Deep Learning and Geometry-Based Image Localization Enhanced by Bluetooth Signals
Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa and Michitaka Hirose

Journal Article, Journal of Information Processing, Vol. 26, pp. 707 - 717, October, 2018
Indoor Pursuit-Evasion with Hybrid Hierarchical Partially Observable Markov Decision Processes for Multi-Robot Systems
Sha Yi, Changjoo Nam and Katia Sycara

Conference Paper, International Symposium on Distributed Autonomous Robotic Systems, October, 2018
Multiple interactions made easy (mime): Large scale demonstrations data for imitation
Pratyusha Sharma, Lekha Mohan, Lerrel Pinto and Abhinav Gupta

Conference Paper, 2nd Annual Conference on Robot Learning (CoRL 2018), Vol. 87, pp. 906 - 915, October, 2018
Assembly-aware Design of Printable Electromechanical Devices
Ruta Desai, James McCann and Stelian Coros

Conference Paper, 31st ACM User Interface Software and Technology Symposium, October, 2018
The Present and Future of Museum Accessibility for People with Visual Impairments
Saki Asakawa, Joao Guerreiro, Dragan Ahmetovic, Kris M. Kitani and Chieko Asakawa

Conference Paper, Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), pp. 382 - 384, October, 2018
Decentralized Method for Sub-swarm Deployment and Rejoining
Meghan Chandarana, Wenhao Luo, Michael Lewis, Katia Sycara and Sebastian Scherer

Conference Paper, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), October, 2018
Few-Shot Human Motion Prediction via Meta-learning
Liang-Yan Gui, Yuxiong Wang, Deva Ramanan and Jose M. F. Moura

Conference Paper, European Conference on Computer Vision (ECCV), October, 2018
Adversarial Geometry-Aware Human Motion Prediction
Yuxiong Wang, Liang-Yan Gui, Xiaodan Liang and Jose M. F. Moura

Conference Paper, European Conference on Computer Vision (ECCV), October, 2018
R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting
Nick Rhinehart, Paul Vernaza and Kris Kitani

Conference Paper, European Conference on Computer Vision (ECCV 2018), Part of the Lecture Notes in Computer Science book series (LNCS, volume 11217), pp. 794 - 811, October, 2018
Robust Plant Phenotyping via Model-based Optimization
Paloma Sodhi, Hanqi Sun, Barnabas Poczos and David Wettergreen

Conference Paper, IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, IROS, October, 2018
SLAP: Simultaneous Localization and Planning Under Uncertainty via Dynamic Replanning in Belief Space
Ali-akbar Agha-mohammadi, Saurav Agarwal, Sung Kyun Kim, Suman Chakravorty and Nancy M. Amato

Journal Article, IEEE Transactions on Robotics, Vol. 34, No. 5, pp. 1195-1214, October, 2018