| 2020 | Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting. | Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart |
| 2020 | Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds. | Tai Wang, Xinge Zhu, Dahua Lin |
| 2020 | Learning a natural-language to LTL executable semantic parser for grounded robotics. | Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu |
| 2020 | ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning. | Yufei Wang, Gautham Narayan Narasimhan, Xingyu Lin, Brian Okorn, David Held |
| 2020 | CLOUD: Contrastive Learning of Unsupervised Dynamics. | Jianren Wang, Yujie Lu, Hang Zhao |
| 2020 | Policy learning in SE(3) action spaces. | Dian Wang, Colin Kohler, Robert Platt Jr. |
| 2020 | Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous. | Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust |
| 2020 | TartanVO: A Generalizable Learning-based VO. | Wenshan Wang, Yaoyu Hu, Sebastian A. Scherer |
| 2020 | CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation. | Hengli Wang, Rui Fan, Ming Liu |
| 2020 | Learning Object-conditioned Exploration using Distributed Soft Actor Critic. | Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev |
| 2020 | Multi-Level Structure vs. End-to-End-Learning in High-Performance Tactile Robotic Manipulation. | Florian Voigt, Lars Johannsmeier, Sami Haddadin |
| 2020 | Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering. | Maria Bauz Villalonga, Alberto Rodriguez, Bryan Lim, Eric Valls, Theo Sechopoulos |
| 2020 | Probably Approximately Correct Vision-Based Planning using Motion Primitives. | Sushant Veer, Anirudha Majumdar |
| 2020 | S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency. | Mel Vecerk, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothrl, Raia Hadsell, Lourdes Agapito, Jonathan Scholz |
| 2020 | Learning to Communicate and Correct Pose Errors. | Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun |
| 2020 | 3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. | Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki |
| 2020 | DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer. | Ajay Kumar Tanwani |
| 2020 | Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control. | Guangzhi Tang, Neelesh Kumar, Raymond Yoo, Konstantinos P. Michmizos |
| 2020 | Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. | Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon |
| 2020 | Learning Equality Constraints for Motion Planning on Manifolds. | Giovanni Sutanto, Isabel M. Rayas Fernndez, Peter Englert, Ragesh Kumar Ramachandran, Gaurav S. Sukhatme |
| 2020 | Learning an Expert Skill-Space for Replanning Dynamic Quadruped Locomotion over Obstacles. | David Surovik, Oliwier Melon, Mathieu Geisert, Maurice F. Fallon, Ioannis Havoutis |
| 2020 | Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design. | Jiankai Sun, Hao Sun, Tian Han, Bolei Zhou |
| 2020 | Learning Certified Control Using Contraction Metric. | Dawei Sun, Susmit Jha, Chuchu Fan |
| 2020 | Learning Obstacle Representations for Neural Motion Planning. | Robin Strudel, Ricardo Garcia, Justin Carpentier, Jean-Paul Laumond, Ivan Laptev, Cordelia Schmid |
| 2020 | Flightmare: A Flexible Quadrotor Simulator. | Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza |