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Capabilities

2,075 papers (1 classified directly here)

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Papers (including subtopics)

Deep Value Model Predictive Control CoRL 2019 Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies AAAI 2019 DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion CVPR 2019 Differentiable Algorithm Networks for Composable Robot Learning RSS 2019 Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time AAAI 2019 Efficient Planning Under Uncertainty with Incremental Refinement UAI 2019 Elaborate Monocular Point and Line SLAM With Robust Initialization ICCV 2019 Embodied Question Answering in Photorealistic Environments With Point Cloud Perception CVPR 2019 Equivalence of the Projected Forward Dynamics and the Dynamically Consistent Inverse Solution RSS 2019 Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video CVPR 2019 Executing Instructions in Situated Collaborative Interactions EMNLP 2019 Experience-Embedded Visual Foresight CoRL 2019 From Explanation to Synthesis: Compositional Program Induction for Learning from Demonstration RSS 2019 GSLAM: A General SLAM Framework and Benchmark ICCV 2019 Harnessing Reinforcement Learning for Neural Motion Planning RSS 2019 HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators CoRL 2019 Idiothetic Verticality Estimation through Head Stabilization Strategy RSS 2019 Imitation Learning from Observation AAAI 2019 Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity (Extended Abstract) IJCAI 2019 Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter AAAI 2019 Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning CoRL 2019 Inverting Learned Dynamics Models for Aggressive Multirotor Control RSS 2019 Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks CoRL 2019 Learning from demonstration with model-based Gaussian process CoRL 2019 Learning from My Partner’s Actions: Roles in Decentralized Robot Teams CoRL 2019