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Publications

Found 260 results
2020
C. Wang, Martin-Martin, R., Xu, D., Lv, J., Lu, C., Li, F. - F., 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.
Z. Cao, Biyik, E., Wang, W., Raventos, A., Gaidon, A., Rosman, G., and Sadigh, D., Active Preference-Based Gaussian Process Regression for Reward Learning, in Proceedings of Robotics: Science and Systems (RSS), 2020.
C. Meng, Yu, L., Song, Y., Song, J., and Ermon, S., Autoregressive Score Matching, 2020.
K. Leung, Arechiga, N., and Pavone, M., Back-propagation through STL Specifications: Infusing Logical Structure into Gradient-Based Methods, Workshop on the Algorithmic Foundations of Robotics, 2020.
D. Rempe, Birdal, T., Zhao, Y., Gojcic, Z., Sridhar, S., and Guibas, L., CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations, in Under Review., 2020.
A. Tulbure and Khatib, O., Closing the Loop: Real-Time Perception and Control for Robust Collision Avoidance with Occluded Obstacles, in 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020.
P. Wei Koh, Thao, N., Tang, Y. Siang, Mussmann, S., Pierson, E., Kim, B., and Liang, P., Concept Bottleneck Models, In submission, 2020.
L. Shao, Migimatsu, T., Zhang, Q., Yang, K., and Bohg, J., Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations, in Proceedings of Robotics: Science and Systems, Corvallis, Oregon, 2020.
P. Khadpe, Krishna, R., Fei-Fei, L., Hancock, J., and Bernstein, M., Conceptual Metaphors Impact Perceptions of Human-AI Collaboration, in CSCW 2020, 2020.
P. Khadpe, Krishna, R., Fei-Fei, L., Hancock, J. T., and Bernstein, M. S., Conceptual Metaphors Impact Perceptions of Human-AI Collaboration, Proceedings of the ACM on Human-Computer Interaction, vol. 4, pp. 1–26, 2020.
J. M. Walker and Okamura, A. M., Continuous Closed-Loop 4-Degree-of-Freedom Holdable Haptic Guidance, IEEE Robotics and Automation Letters, 2020.
R. Senanayake, Toyungyernsub, M., Wang, M., Kochenderfer, M. J., and Schwager, M., Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments, Under Review in The 23rd IEEE Intelligent Transportation Systems Conference (ITSC), 2020.
N. Gruver, Song, J., and Ermon, S., Disagreement-Regularized Imitation of Complex Multi-Agent Interactions, 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.
O. Shorinwa, Yu, J., Halsted, T., Koufos, A., and Schwager, M., Distributed Multi-Target Tracking for Autonomous Vehicle Fleets, in IEEE International Conference on Robotics and Automation, 2020.
M. Srivastava, Hashimoto, T., and Liang, P., Distributional Robustness with Human-Annotated Confounders, in Artificial Intelligence and Statistics (AISTATS), 2020.
N. Agharese, Stuart, A. D., Pitzer, L. N., Pillot, J. N., Blumenschein, L. H., and Okamura, A. M., Dynamic Characterization of Soft Growing Robots, in IEEE/RSJ International Conference on Intelligent Robots and Systems, 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.
G. Notomista, Wang, M., Schwager, M., and Egerstedt, M., Enhancing Game-Theoretic Autonomous Car Racing Using Control Barrier Functions, in IEEE International Conference on Robotics and Automation (ICRA). Under Review., 2020.
M. Itkina, Ivanovic, B., Senanayake, R., Kochenderfer, M. J., and Pavone, M., Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders, in Advances in Neural Information Processing Systems (NeurIPS), 2020.

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