Publications

Displaying 8931 Publications
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, Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 2019, March, 2019
From One to Another: How Robot-Robot Interaction Affects Users’ Perceptions Following a Transition Between Robots
Xiang Zhi Tan, Samantha Reig, Elizabeth Carter and Aaron Steinfeld

Conference Paper, Proceedings of 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), March, 2019
Bi-Directional Value Learning for Risk-Aware Planning Under Uncertainty
Sung Kyun Kim, Rohan Thakker and Ali-Akbar Agha-Mohammadi

Journal Article, IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 3, pp. 2493-2500, March, 2019
Interactive robots with model-based ‘autism-like’ behaviors
Kim Baraka, Francisco S. Melo and Manuela Veloso

Journal Article, Paladyn Journal of Behavioral Robotics, March, 2019
Automated Analysis, Reporting, and Archiving for Robotic Nondestructive Assay of Holdup Deposits
Heather Jones, Siri Maley, Kenji Yonekawa, Mohammadreza Mousaei, J. David Yesso, David Kohanbash and William Whittaker

Conference Paper, Proceedings of Waste Management, March, 2019
Commissioning of Robotic Inspection and Automated Analysis System for Assay of Gas Diffusion Piping
Siri Maley, Heather Jones, Warren Whittaker, David Kohanbash, Josh Spisak, Ralph Boirum, Andrew Zhang, J. David Yesso, Russell Riddle and William Whittaker

Conference Paper, Proceedings of Waste Management, March, 2019
Novel Radiometry for In-Pipe Robotic Inspection of Holdup Deposits in Gaseous Diffusion Piping
Siri Maley, Heather Jones and William Whittaker

Conference Paper, Proceedings of Waste Management, 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
A Planning Pipeline for Large Multi-Agent Missions
Meghan Chandarana, E. L. Meszaros and B. Danette Allen

Conference Paper, Proceedings of Twelfth International Conference on Advances in Computer-Human Interactions (ACHI 2019), pp. 74-79, February, 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

Workshop Paper, IEEE Winter Applications of Computer Vision Workshops (WACVW), February, 2019
Sensorless Pose Determination using Randomized Action Sequences
Pragna Mannam, Alexander 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
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance
Lipu Zhou, Yi Yang, Montiel Abello and Michael Kaess

Conference Paper, Proceedings of Proc. AAAI Conference on Artificial Intelligence, AAAI, January, 2019
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark
Akshat Agarwal, Ryan Hope and Katia Sycara

Workshop 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

Workshop 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
Learning On-Road Visual Control for Self-Driving Cars with Auxiliary Tasks
Yilun Chen, Praveen Palanisamy, Pri Mudalige, Katharina Muelling and John M. Dolan

Conference Paper, Proceedings of the 2019 IEEE Winter Conference on Applications of Computer Vision, pp. 331-338, January, 2019
Photo-Sketching: Inferring Contour Drawings from Images
Mengtian Li, Zhe Lin, Radomír Měch, Ersin Yumer and Deva Ramanan

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

Conference Paper, Proceedings of 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, Proceedings of 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
A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences
Lipu Zhou, Jiamin Ye and Michael Kaess

Conference Paper, Proceedings of Proc. Asian Conf. on Computer Vision, ACCV, December, 2018
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu, Debadeepta Dey, Martial Hebert and J. Andrew Bagnell

Conference Paper, Proceedings of 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
Road-Segmentation based Curb Detection Method for Self-driving via a 3D-LiDAR Sensor
Yihuan Zhang, Jun Wang, Xiaonian Wang and John M. Dolan

Journal Article, IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 12, pp. 3981-3991, 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, Proceedings of 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

Workshop 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
Camera-based Semantic Enhanced Vehicle Segmentation for Planar LIDAR
Chen Fu, Peiyun Hu, Chiyu Dong, Christoph Mertz and John M. Dolan

Conference Paper, Proceedings of the 2018 IEEE International Conference on Intelligent Transportation Systems, pp. 3805-3810, November, 2018
Continuous Behavioral Prediction in Lane-Change for Autonomous Driving Cars in Dynamic Environments
Chiyu Dong and John M. Dolan

Conference Paper, Proceedings of the 2018 IEEE International Conference on Intelligent Transportation Systems, pp. 3706-3711, November, 2018
POMDP and Hierarchical Options MDP with Continuous Actions for Autonomous Driving at Intersections
Zhiqian Qiao, Katharina Muelling, John Dolan, Praveen Palanisamy and Priyantha Mudalige

Conference Paper, Proceedings of the 2018 IEEE International Conference on Intelligent Transportation Systems, pp. 2377-2382, November, 2018
Precision UAV Landing in Unstructured Environments
Kevin Pluckter and Sebastian Scherer

Conference Paper, Proceedings of 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, Proceedings of 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, Proceedings of 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