2020
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Results for: 2020
- Senanayake, Ransalu, Maneekwan Toyungernsub, Mingyu Wang, Mykel Kochenderfer, and Mac Schwager. “Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments”, Under Review in The 23rd IEEE Intelligent Transportation Systems Conference (ITSC).
- Gruver, Nate, Jiaming Song, and Stefano Ermon. “Disagreement-Regularized Imitation of Complex Multi-Agent Interactions”.
- Mangalam, Karttikeya, Adeli Ehsan, Kuan-Hui Lee, Adrien Gaidon, and Juan Carlos Niebles. “Disentangling Human Dynamics for Pedestrian Locomotion Forecasting With Noisy Supervision”. Winter Conference on Applications of Computer Vision (WACV), 2020.
- Ruotolo, Wilson, Rachel Thomasson, Joel Herrera, Alexander Gruebele, and Mark Cutkosky. “Distal Hyperextension Is Handy: High Range of Motion in Cluttered Environments”, IEEE Robotics and Automation Letters.
- Shorinwa, O., J. Yu, T. Halsted, A. Koufos, and M. Schwager. “Distributed Multi-Target Tracking for Autonomous Vehicle Fleets”. IEEE International Conference on Robotics and Automation, 2020.
- Srivastava, M., T. Hashimoto, and P. Liang. “Distributional Robustness With Human-Annotated Confounders”. Artificial Intelligence and Statistics (AISTATS), 2020.
- Agharese, Nathaniel, Anthony Stuart, Lauren Pitzer, James Pillot, Laura Blumenschein, and Allison Okamura. “Dynamic Characterization of Soft Growing Robots”. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020.
- Do, Brian, Valory Banashek, and Allison Okamura. “Dynamically Reconfigurable Discrete Distributed Stiffness for Inflated Beam Robots”. IEEE International Conference on Robotics and Automation (ICRA), 2020.
- Huh, Tae Myung, Hojung Choi, Simone Wilcox, Stephanie Moon, and Mark Cutkosky. “Dynamically Reconfigurable Tactile Sensor for Robotic Manipulation”, IEEE Robotics and Automation Letters.
- Notomista, Gennaro, Mingyu Wang, Mac Schwager, and Magnus Egerstedt. “Enhancing Game-Theoretic Autonomous Car Racing Using Control Barrier Functions”. IEEE International Conference on Robotics and Automation (ICRA). Under Review, 2020.
- Notomista, Gennaro, Mingyu Wang, Mac Schwager, and Mangus Egerstedt. “Enhancing Game-Theoretic Autonomou}s Car Racing Using Control Barrier Functions”. IEEE International Conference on Robotics and Automation (ICRA). Under Review, 2020. https://ieeexplore.ieee.org/abstract/document/9196757.
- Itkina, Masha, Boris Ivanovic, Rensalu Senanayake, Mykel Kochenderfer, and Marco Pavone. “Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders”. Advances in Neural Information Processing Systems (NeurIPS), 2020.
- Song, Jiaming, Samanth Sinha, Animesh Garg, and Stefano Ermon. “Experience Replay With Likelihood Weighted Importance Ratios”.
- Wang, Mingyu, Negar Mehr, Adrien Gaidon, and Mac Schwager. “Game-Theoretic Planning for Risk-Aware Interactive Agents”, International Conference on Intelligent Robots and Systems (IROS).
- Stroppa, Fabio, Ming Luo, Kyle Yoshida, Margaret Coad, Laura Blumenschein, and Allison Okamura. “Human Interface for Teleoperated Object Manipulation With a Soft Growing Robot”. IEEE International Conference on Robotics and Automation (ICRA), 2020.
- Sunberg, Zachary, and Mykel Kochenderfer. “Improving Automated Driving ThroughPlanning With Human Internal States”, {IEEE} Trans. Intell. Transp. Syst.
- Zhao, Shengjia, Tengyu Ma, and Stefano Ermon. “Individual Calibration With Randomized Forecasting”.
- Wang, X., K. Leung, and M. Pavone. “Infusing Reachability-Based Safety into Planning and Control for Multi-Agent Interactions”. {IEEE/RSJ Int.\ Conf.\ on Intelligent Robots \& Systems}, 2020.
- Ivanovic, Boris, Amine Elhafsi, Guy Rosman, Adrien Gaidon, and Marco Pavone. “Interpretable Planning-Aware Representations for Multi-Agent Trajectory Forecasting”. Bay Area Machine Learning Symposium, 2020.
- Qin, Zengyi, Kuan Fang, Yuke Zhu, Fei-Fei Li, and Silvio Savarese. “KETO: Learning Keypoint Representations for Tool Manipulation”. IEEE International Conference on Robotics and Automation (ICRA), 2020.