Capabilities

gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors CVPR 2020 Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability L4DC 2020 Generative 3D Part Assembly via Dynamic Graph Learning NeurIPS 2020 Hallucinative Topological Memory for Zero-Shot Visual Planning ICML 2020 Hierarchically Decoupled Imitation For Morphological Transfer ICML 2020 HRI-RNN: A User-Robot Dynamics-Oriented RNN for Engagement Decrease Detection Interspeech 2020 I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning IJCAI 2020 IKBT: Solving Symbolic Inverse Kinematics with Behavior Tree (Extended Abstract) IJCAI 2020 I-MOVE: Independent Moving Objects for Velocity Estimation WACV 2020 Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic IJCAI 2020 Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents CoRL 2020 Intrinsic Motivation for Encouraging Synergistic Behavior ICLR 2020 IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping CoRL 2020 Just Ask: An Interactive Learning Framework for Vision and Language Navigation AAAI 2020 Learning Adaptive Language Interfaces through Decomposition EMNLP 2020 Learning a Decentralized Multi-Arm Motion Planner CoRL 2020 Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty L4DC 2020 Learning Constrained Dynamics with Gauss’ Principle adhering Gaussian Processes L4DC 2020 Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses CVPR 2020 Learning hierarchical relationships for object-goal navigation CoRL 2020 Learning Labeled Robot Affordance Models Using Simulations and Crowdsourcing RSS 2020 Learning Latent Representations to Influence Multi-Agent Interaction CoRL 2020 Learning Memory-Based Control for Human-Scale Bipedal Locomotion RSS 2020 Learning Multi-View Camera Relocalization With Graph Neural Networks CVPR 2020 Learning Navigation Costs from Demonstrations with Semantic Observations L4DC 2020