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

Publications

Displaying 8772 Publications
Using Bi-Directional Information Exchange to Improve Decentralized Schedule-Driven Traffic Control
Hsu-Chieh Hu and Stephen Smith
Conference Paper, Proceedings 29th International Conference on Automated Planning and Scheduling, July, 2019
Human motion prediction using semi-adaptable neural networks
Yujiao Cheng, Weiye Zhao, Changliu Liu and Masayoshi Tomizuka
Conference Paper, American Control Conference, 2019, July, 2019
Improving efficiency of autonomous vehicles via V2V communication
Changliu Liu, Chung-Wei Lin, Shinichi Shiraishi and Masayoshi Tomizuka
Conference Paper, 2018 Annual American Control Conference (ACC), June, 2019
Semantic Gaze Labeling for Human-Robot Shared Manipulation
Reuben M. Aronson and Henny Admoni
Conference Paper, ACM Symposium on Eye Tracking Research and Applications (ETRA), June, 2019
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
Hunter Goforth, Yasuhiro Aoki, Arun Srivatsan Rangaprasad and Simon Lucey
Conference Paper, Proceedings of IEEE conference on Computer Vision and Pattern Recognition (CVPR), June, 2019
AGen: Adaptable generative prediction networks for autonomous driving
Wenwen Si, Tianhao Wei and Changliu Liu
Conference Paper, IEEE Intelligent Vehicle Symposium, 2019, June, 2019
Simulated Basic Safety Message: Concept & Application
Suryansh S. Saxena and Isaac K. Isukapati
Conference Paper, IEEE Intelligent Vehicle Symposium, June, 2019
Depth Completion with Deep Geometry and Context Guidance
Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im and In So Kweon
Conference Paper, IEEE International Conference on Robotics and Automation (ICRA), May, 2019
Robust Execution of Contact-Rich Motion Plans by Hybrid Force-Velocity Control
Yifan Hou and Matthew T. Mason
Conference Paper, Proceedings of IEEE International Conference on Robotics and Automation (ICRA), May, 2019
Decentralized Multiple Mobile Depots Route Planning for Replenishing Persistent Surveillance Robots
Yifan Ding
Master's Thesis, Tech. Report, CMU-RI-TR-19-17, May, 2019
Highly Miniaturized Robots for Inspection of Small Nuclear Piping
Nikhil Jog
Master's Thesis, Tech. Report, CMU-RI-TR-19-13, May, 2019
Model-free Sensorless Manipulation
Pragna Mannam
Master's Thesis, Tech. Report, CMU-RI-TR-19-06, May, 2019
Topological Path Planning For Crowd Navigation
Chao Cao
Master's Thesis, Tech. Report, CMU-RI-TR-19-18, May, 2019
Visual Imitation Learning for Robot Manipulation
Maximilian Sieb
Master's Thesis, Tech. Report, CMU-RI-TR-19-07, May, 2019
3D Object Detection from CT Scans using a Slice-and-fuse Approach
Anqi Yang
Master's Thesis, Tech. Report, CMU-RI-TR-19-23, May, 2019
3D Shape Completion and Canonical Pose Estimation with Structured Neural Networks
Wentao Yuan
Master's Thesis, Tech. Report, CMU-RI-TR-19-22, May, 2019
A Multi-Domain Feature Learning Method for Visual Place Recognition
Peng Yin, Lingyun Xu, Xueqian Li, Yin Chen, Yingli Li, Arun Srivatsan Rangaprasad, Lu Li, Jiamin Ji and Yuqin He
Conference Paper, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), May, 2019
Adaptive Variance for Changing Sparse-Reward Environments
Xingyu Lin, Pengsheng Guo, Carlos Florensa and David Held
Conference Paper, International Conference on Robotics and Automation (ICRA) 2019. in press, May, 2019
MRS-VPR: a multi-resolution sampling based global visual place recognition method
Peng Yin, Arun Srivatsan Rangaprasad, Yin Chen, Xueqian Li, Hongda Zhang, Lingyun Xu, Lu Li, Zenzhong Jia, Jiamin Ji and Yuqin He
Conference Paper, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), May, 2019
Reinforcement learning for object manipulation with indicator rewards in continuous state space
Xingyu Lin, Harjatin Baweja and David Held
Conference Paper, Robotics: Science and Systems 2019, submitted, May, 2019
Trust-Aware Behavior Reflection for Robot Swarm Self-Healing
Rui Liu, Fan Jia, Wenhao Luo, Meghan Chandarana, Changjoo Nam, Michael Lewis and Katia Sycara
Conference Paper, International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), May, 2019
OpenPose: Whole-Body Pose Estimation
Gines Hidalgo Martinez
Master's Thesis, Tech. Report, CMU-RI-TR-19-015, May, 2019
A Computational Framework for Norm-Aware Reasoning in Autonomous Systems
Vigneshram Krishnamoorthy
Master's Thesis, Tech. Report, CMU-RI-TR-19-14, May, 2019
Community Regularization of Visually Grounded Dialog
Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma, Mike Lewis and Katia Sycara
Conference Paper, Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), May, 2019
Generating 3D Human Animations from Single Monocular Images
Tanya Marwah
Master's Thesis, Tech. Report, CMU-RI-TR-19-12, May, 2019
Interpretable Intuitive Physics Model
Tian Ye
Master's Thesis, Tech. Report, CMU-RI-TR-19-16, May, 2019
Learning Transferable Cooperative Behavior in Multi-Agent Teams
Akshat Agarwal
Master's Thesis, Tech. Report, CMU-RI-TR-19-10, May, 2019
Planning under Uncertainty with Multiple Heuristics
Sung Kyun Kim
PhD Thesis, Tech. Report, CMU-RI-TR-19-26, May, 2019
Design and Evaluation of Robust Control Methods for Robotic Transfemoral Prostheses
Nitish Thatte
PhD Thesis, Tech. Report, CMU-RI-TR-19-20, May, 2019
Deep pose distributions
Brian Okorn, Martial Hebert and David Held
Conference Paper, Robotics: Science and Systems 2019, submitted, May, 2019
High precision instance detection using dense pixel correspondence
Siddharth Ancha, Jenny Lin and David Held
Conference Paper, Robotics: Science and Systems 2019, submitted, May, 2019
Integrating Context into Artificial Intelligence: Research from the Robotics Collaborative Technology Alliance
K. E. Schaefer, J. Oh, D. Aksaray and D. Barber
Magazine Article, AI Magazine, to appear, May, 2019
Monocular Total Capture: Posing Face, Body, and Hands in the Wild
Donglai Xiang
Master's Thesis, Tech. Report, CMU-RI-TR-19-19, May, 2019
Learning to optimally segment point clouds
Peiyun Hu, David Held and Deva Ramanan
Conference Paper, International Conference on Computer Vision (ICCV 2019), submitted, May, 2019
Deep Reinforcement Learning with Prior Knowledge
Tao Chen
Master's Thesis, Tech. Report, CMU-RI-TR-19-09, May, 2019
A deep learning system for efficient path planning from aerial images
X. Perez and J. Oh
Miscellaneous, CMU Invention Disclosure (filed), May, 2019
Leveraging Simulation for Computer Vision
Rawal Khirodkar
Master's Thesis, Tech. Report, CMU-RI-TR-19-11, May, 2019
Social Attention: software. https://github.com/jeanoh/big/tree/social-navigation/social-attention/srnn-pytorch
A. Vemula, K. Muelling and J. Oh
Miscellaneous, Software Artifact, May, 2019
Intra-Robot Replanning and Learning for Multi-Robot Teams in Complex Dynamic Domains
Philip Cooksey
PhD Thesis, Tech. Report, CMU-RI-TR-19-21, April, 2019
Light Sheet Depth Imaging
Joseph Bartels
PhD Thesis, Tech. Report, CMU-RI-TR-19-05, April, 2019
Analytically modeling unmanaged intersections with microscopic vehicle interactions
Changliu Liu and Mykel J. Kochenderfer
Conference Paper, Intelligent Transportation Systems Conference (ITSC), 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
Fast Exploration Using Multirotors: Analysis, Planning, and Experimentation
Kshitij Goel, Micah Corah and Nathan Michael
Tech. Report, CMU-RI-TR-19-03, 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