Publications




An Evaluation of Wheel-Track Systems
Hannah Lyness
Master's Thesis, Tech. Report, CMU-RI-TR-17-33, Robotics Institute, Carnegie Mellon University, August, 2017
Applications of Experience Graphs in Humanoid Motion Planning
Sameer Bardapurkar
Master's Thesis, Tech. Report, CMU-RI-TR-17-59, Robotics Institute, Carnegie Mellon University, August, 2017
Autonomy Infused Teleoperation with Application to BCI Manipulation
Katharina Muelling, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey M. Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, and J. Andrew Bagnell
Journal Article, Autonomous Robots, Vol. 41, No. 6, pp. 1401 - 1422, August, 2017
Deep Structures of Collaboration
Prerna Chikersal
Master's Thesis, Tech. Report, CMU-RI-TR-17-36, Robotics Institute, Carnegie Mellon University, August, 2017
Deliberative Perception
Venkatraman Narayanan
PhD Thesis, Tech. Report, CMU-RI-TR-17-67, Robotics Institute, Carnegie Mellon University, August, 2017
Detecting and Grasping Sorghum Stalks in Outdoor Occluded Environments
Merritt Jenkins
Master's Thesis, Tech. Report, CMU-RI-TR-17-61, Robotics Institute, Carnegie Mellon University, August, 2017
Development of a Ground-Based Robot for High-Throughput Plant Phenotyping
Timothy Mueller-Sim
Master's Thesis, Tech. Report, CMU-RI-TR-17-46, Robotics Institute, Carnegie Mellon University, August, 2017
Discovering and Leveraging Visual Structure for Large-scale Recognition
Abhinav Shrivastava
PhD Thesis, Tech. Report, CMU-RI-TR-17-63, Robotics Institute, Carnegie Mellon University, August, 2017
DROAN: Disparity space Representation for Obstacle AvoidaNce
Geetesh Dubey
Master's Thesis, Tech. Report, CMU-RI-TR-17-42, Robotics Institute, Carnegie Mellon University, August, 2017
Efficient, Multi-Fidelity Perceptual Representations via Hierarchical Gaussian Mixture Models
Shobhit Srivastava
Master's Thesis, Tech. Report, CMU-RI-TR-17-44, Robotics Institute, Carnegie Mellon University, August, 2017
Exploiting Robotic Swarm Characteristics for Adversarial Subversion in Coverage Tasks
Navyata Sanghvi
Master's Thesis, Tech. Report, CMU-RI-TR-17-60, Robotics Institute, Carnegie Mellon University, August, 2017
Go, Look, and Tell: Natural Language Communication with a Ballbot
M. Wilson, J. Oh, and R. Hollis
Miscellaneous, CMU RISS Poster Session, August, 2017
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution
Po-Wei Chou, Daniel Maturana, and Sebastian Scherer
Conference Paper, Proceedings of (ICML) International Conference on Machine Learning, pp. 834 - 843, August, 2017
Large-scale, real-time 3D scene reconstruction on a mobile device
Ivan Dryanovski, Matthew Klingensmith, Siddhartha S. Srinivasa, and Jizhong Xiao
Journal Article, Autonomous Robots: Special Issue on RSS '15, Vol. 41, No. 6, pp. 1423 - 1445, August, 2017
On Time-Optimal Behavior Scheduling of Robotic Swarms for Achieving Multiple Goals
Sasanka Nagavalli, Nilanjan Chakraborty, and Katia Sycara
Conference Paper, Proceedings of 13th IEEE International Conference on Automation Science and Engineering (CASE '17), pp. 1546 - 1553, August, 2017
Paratransit Scheduling and Routing
Z. B. Rubinstein and S. F. Smith
Book Section/Chapter, Accessible Public Transportation: Designing Service for Riders with Disabilities, August, 2017
Real-time Dense Mapping without Pose Graph using Deformation and Orientation
Puneet Puri
Master's Thesis, Tech. Report, CMU-RI-TR-17-35, Robotics Institute, Carnegie Mellon University, August, 2017
Reasoning About Spatial Patterns of Human Behavior During Group Conversations with Robots
Marynel Vazquez
PhD Thesis, Tech. Report, CMU-RI-TR-17-47, Robotics Institute, Carnegie Mellon University, August, 2017
Reliable Navigation for Autonomous Vehicles in Connected Vehicle Environments by using Multi-agent Sensor Fusion
Suryansh Saxena
Master's Thesis, Tech. Report, CMU-RI-TR-17-45, Robotics Institute, Carnegie Mellon University, August, 2017
Robust Adversarial Reinforcement Learning
Lerrel Pinto, James Davidson, Rahul Sukthankar, and Abhinav Gupta
Conference Paper, Proceedings of (ICML) International Conference on Machine Learning, pp. 2817 - 2826, August, 2017
Safe and Efficient Navigation in Dynamic Environments
Anirudh Vemula
Master's Thesis, Tech. Report, CMU-RI-TR-17-40, Robotics Institute, Carnegie Mellon University, August, 2017
Shape Prior Meets Geometry in Single and Multi-view Shape Reconstruction
Rui Zhu
Master's Thesis, Tech. Report, CMU-RI-TR-17-54, Robotics Institute, Carnegie Mellon University, August, 2017
Situational Awareness and Mixed Initiative Markup for Human-Robot Team Plans
Nathan Brooks
PhD Thesis, Tech. Report, CMU-RI-TR-17-64, Robotics Institute, Carnegie Mellon University, August, 2017
State Estimation and Localization for ROV-Based Reactor Pressure Vessel Inspection Using a Pan-Tilt-Zoom Camera
Timothy E. Lee
Master's Thesis, Tech. Report, CMU-RI-TR-17-48, Robotics Institute, Carnegie Mellon University, August, 2017
State Estimation and Vision-based Occupancy Mapping for Off-Road Driving
Wei-Hsin Chou
Master's Thesis, Tech. Report, CMU-RI-TR-17-58, Robotics Institute, Carnegie Mellon University, August, 2017
Supervised Learning of Corrective Maneuvers for Vision-Based Autonomous Flight
Dhruv Mauria Saxena
Master's Thesis, Tech. Report, CMU-RI-TR-17-55, Robotics Institute, Carnegie Mellon University, August, 2017
Verbalization of Service Robot Experience as Explanations in Language Including Vision-Based Learned Elements
Sai Prabhakar Pandi Selvaraj
Master's Thesis, Tech. Report, CMU-RI-TR-17-53, Robotics Institute, Carnegie Mellon University, August, 2017
What Is the Robot Thinking? Embedded Feedback in the Intelligent Workcell Manufacturing Environment
Harrison Billmers
Master's Thesis, Tech. Report, CMU-RI-TR-17-49, Robotics Institute, Carnegie Mellon University, August, 2017
Brief Announcement: Stateless Computation
D. Dolev, Michael Erdmann, N. Lutz, M. Schapira, and A. Zair
Conference Paper, Proceedings of ACM Symposium on Principles of Distributed Computing, pp. 419 - 421, July, 2017
From Red Wine to Red Tomato: Composition with Context
Ishan Misra, Abhinav Gupta, and Martial Hebert
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 1160 - 1169, July, 2017
Robust anytime tracking combining 3D shape, color, and motion with annealed dynamic histograms
David Held, Jesse Levinson, Sebastian Thrun, and Silvio Savarese
Miscellaneous, U.S. Patent 9,710,925 issued July 18, 2017, July, 2017
Enabling Robots to Communicate their Objectives
Sandy H. Huang, David Held, Pieter Abbeel, and Anca D. Dragan
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Dynamic walking on randomly-varying discrete terrain with one-step preview
Quan Nguyen, Ayush Agrawal, Xingye Da, William Martin, Hartmut Geyer, Jessy Grizzle, and Koushil Sreenath
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Exact Bounds on the Contact Driven Motion of a Sliding Object, With Applications to Robotic Pulling
Eric Huang, Ankit Bhatia, Byron Boots, and Matthew Mason
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Whole-Cloth Quilting Patterns from Photographs
Chenxi Liu, Jessica K. Hodgins, and James McCann
Conference Paper, Proceedings of Symposium on Non-Photorealistic Animation and Rendering (NPAR '17), July, 2017
Acting under Uncertainty for Information Gathering and Shared Autonomy
Shervin Javdani
PhD Thesis, Tech. Report, CMU-RI-TR-17-52, Robotics Institute, Carnegie Mellon University, July, 2017
Asynchronous Temporal Fields for Action Recognition
Gunnar A. Sigurdsson, Santosh Divvala, Ali Farhadi, and Abhinav Gupta
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 5650 - 5659, July, 2017
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
Xiaolong Wang, Abhinav Shrivastava, and Abhinav Gupta
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 3039 - 3048, July, 2017
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification
Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, and Bryan Russell
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 3165 - 3174, July, 2017
Binge Watching: Scaling Affordance Learning From Sitcoms
Xiaolong Wang, Rohit Girdhar, and Abhinav Gupta
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 3366 - 3375, July, 2017
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
Wei-Chiu Ma, De-An Huang, Namhoon Lee, and Kris M. Kitani
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 4636 - 4644, July, 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, and Serge Belongie
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 6575 - 6583, July, 2017
Lightweight Structure Design Under Force Location Uncertainty
Erva Ulu, James McCann, and Levent Burak Kara
Journal Article, ACM Transactions on Graphics (TOG), Vol. 36, No. 4, July, 2017
The More You Know: Using Knowledge Graphs for Image Classification
Kenneth Marino, Ruslan Salakhutdinov, and Abhinav Gupta
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 20 - 28, July, 2017
What’s in a Question: Using Visual Questions as a Form of Supervision
Siddha Ganju, Olga Russakovsky, and Abhinav Gupta
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 6422 - 6431, July, 2017
Adaptive Information Gathering via Imitation Learning
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian Scherer, and Debadeepta Dey
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Connecting Look and Feel: Associating the visual and tactile properties of physical materials
Wenzhen Yuan, Shaoxiong Wang, Siyuan Dong, and Edward Adelson
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 5580 - 5588, July, 2017
Predicting Bus Dwell Times in Dense Urban Transit Networks Using Bayesian Hierarchical Modeling
Conor Igoe and Eli Bronstein
Miscellaneous, Carnegie Mellon University, RISS Poster Session, July, 2017
3D Human Pose Estimation = 2D Pose Estimation + Matching
C. Chen and D. Ramanan
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 5759 - 5767, July, 2017
A Branch-and-Bound Framework for Unsupervised Common Event Discovery
Wen-Sheng Chu, Fernando De la Torre Frade, Jeffrey Cohn, and Daniel Messinger
Journal Article, International Journal on Computer Vision, Vol. 123, No. 3, pp. 372 - 391, July, 2017