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Publications

Found 206 results
2020
C. Wang, Martin-Martin, R., Xu, D., Lv, J., Lu, C., Fei-Fei, L., Savarese, S., and Zhu, Y., 6-Pack: Category-level 6D Pose Tracker with Anchor-Based Keypoints, in IEEE International Conference on Robotics and Automation (ICRA), 2020.
A. Kloss, Bauza, M., Wu, J., Tenenbaum, J. B., Rodriguez, A., and Bohg, J., Accurate Vision-based Manipulation through Contact Reasoning, in IEEE International Conference on Robotics and Automation (ICRA), 2020.
K. Mangalam, Adeli, E., Lee, K. - H., Gaidon, A., and Niebles, J. C., Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision, in Winter Conference on Applications of Computer Vision (WACV), 2020.
W. Ruotolo, Thomasson, R., Herrera, J., Gruebele, A., and Cutkosky, M., Distal Hyperextension is Handy: High Range of Motion in Cluttered Environments, IEEE Robotics and Automation Letters, 2020.
B. H. Do, Banashek, V., and Okamura, A. M., Dynamically Reconfigurable Discrete Distributed Stiffness for Inflated Beam Robots, in IEEE International Conference on Robotics and Automation (ICRA), 2020.
T. Myung Huh, Choi, H., Willcox, S., Moon, S., and Cutkosky, M., Dynamically Reconfigurable Tactile Sensor for Robotic Manipulation, IEEE Robotics and Automation Letters, vol. 5, 2020.
F. Stroppa, Luo, M., Yoshida, K., Coad, M. M., Blumenschein, L. H., and Okamura, A. M., Human Interface for Teleoperated Object Manipulation with a Soft Growing Robot, in IEEE International Conference on Robotics and Automation (ICRA), 2020.
Z. Qin, Fang, K., Zhu, Y., Fei-Fei, L., and Savarese, S., KETO: Learning Keypoint Representations for Tool Manipulation, in IEEE International Conference on Robotics and Automation (ICRA), 2020.
M. Kokic, Kragic, D., and Bohg, J., Learning Task-Oriented Grasping from Human Activity Datasets, in IEEE International Conference on Robotics and Automation (ICRA), 2020.
M. A. Lee, Zhu, Y., Zachares, P., Tan, M., Srinivasan, K., Savarese, S., Fei-Fei, L., Garg, A., and Bohg, J., Making Sense of Vision and Touch: Learning of Multimodal Representations for Contact-Rich Tasks, IEEE Transactions on Robotics, 2020.
A. Elhafsi, Ivanovic, B., Janson, L., and Pavone, M., Map-Predictive Motion Planning in Unknown Environments, in IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020.
T. Migimatsu and Bohg, J., Object-Centric Task and Motion Planning in Dynamic Environments, IEEE Robotics and Automation Letters, 2020.
D. Rempe, Sridhar, S., Wang, H., and Guibas, L., Predicting the Physical Dynamics of Unseen 3D Objects, in Winter Conference on Applications of Computer Vision (WACV), 2020.
M. M. Coad, Thomasson, R. P., Blumenschein, L. H., Usevitch, N. S., Hawkes, E. W., and Okamura, A. M., Retraction of Soft Growing Robots without buckling, IEEE Robotics and Automation Letters, vol. 5, 2020.
C. Coleman, Yeh, C., Mussmann, S., Mirzasoleiman, B., Bailis, P., Liang, P., Leskovec, J., and Zaharia, M., Selection Via Proxy: Efficient Data Selection For Deep Learning, in International Conference on Learning Representations (ICLR), 2020.
M. Yan, Zhu, Y., Jin, N., and Bohg, J., Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects, IEEE International Conference on Robotics and Automation (ICRA), 2020.
B. Pan, Cai, H., Huang, D. - A., Lee, K. - H., Gaidon, A., Adeli, E., and Niebles, J. C., Spatio-Temporal Graph for Video Captioning with Knowledge Distillation, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
B. Liu, Adeli, E., Cao, Z., Lee, K. - H., Gaidon, A., and Niebles, J. C., Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction, in IEEE International Conference on Robotics and Automation (ICRA), 2020.
A. Gruebele, Roberge, J. - P., Zerbe, A., Ruotolo, W., and Cutkosky, M., A Stretchable Sensory Skin for Manipulation in Cluttered Environments, IEEE Robotics and Automation Letters, 2020.
M. Kwon, Biyik, E., Talati, A., Bhasin, K., Losey, D. P., and Sadigh, D., When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans, in ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2020.
2019
C. Choy, Gwak, J. Y., and Savarese, S., 4D Spatio-Temporal ConvNet: Minkowski Convolutional Neural Network, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
A. Kurenkov, Mandlekar, A., Martín-Martín, R., Savarese, S., and Garg, A., AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers, in Conference on Robot Learning (CoRL), 2019.
C. Basu, Biyik, E., He, Z., Singhal, M., and Sadigh, D., Active Learning of Reward Dynamics from Hierarchical Queries, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
H. Ren, Zhao, S., and Ermon, S., Adaptive Antithetic Sampling for Variance Reduction, in International Conference on Machine Learning, 2019.
J. Park, Krishna, R., Khadpe, P., Fei-Fei, L., and Bernstein, M., AI-based Request Augmentation to Increase Crowdsourcing Participation, in AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2019.

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