Papers
959 papers found
Flightmare: A Flexible Quadrotor Simulator
Yunlong Song, Selim Naji, Elia Kaufmann et al.
From pixels to legs: Hierarchical learning of quadruped locomotion
Deepali Jain, Ken Caluwaerts, Atil Iscen
GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection
Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu et al.
Generalization Guarantees for Imitation Learning
Allen Ren, Sushant Veer, Anirudha Majumdar
Generation of Realistic Images for Learning in Simulation using FeatureGAN
Nicolas Cruz, Javier Ruiz-del-Solar
Generative adversarial training of product of policies for robust and adaptive movement primitives
Emmanuel Pignat, Hakan Girgin, Sylvain Calinon
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
Sarah Dean, Andrew Taylor, Ryan Cosner et al.
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning
Tianjian Chen, Zhanpeng He, Matei Ciocarlie
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
Tanmay Gangwani, Jian Peng, Yuan Zhou
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
Chengguang Xu, Christopher Amato, Lawson Wong
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
Kai Ploeger, Michael Lutter, Jan Peters
Incremental learning of EMG-based control commands using Gaussian Processes
Felix Schiel, Annette Hagengruber, Jörn Vogel et al.
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
Samyak Datta, Oleksandr Maksymets, Judy Hoffman et al.
Interactive Imitation Learning in State-Space
Snehal Jauhri, Carlos Celemin, Jens Kober
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting
Xinshuo Weng, Jianren Wang, Sergey Levine et al.
Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing
Ignat Georgiev, Christoforos Chatzikomis, Timo Voelkl et al.
IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping
Sadegh Rabiee, Joydeep Biswas
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
Lucas Manuelli, Yunzhu Li, Pete Florence et al.
Learning 3D Dynamic Scene Representations for Robot Manipulation
Zhenjia Xu, Zhanpeng He, Jiajun Wu et al.
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
Xingye Da, Zhaoming Xie, David Hoeller et al.
Learning a Decentralized Multi-Arm Motion Planner
Huy Ha, Jingxi Xu, Shuran Song
Learning a Decision Module by Imitating Driver’s Control Behaviors
Junning Huang, Sirui Xie, Jiankai Sun et al.
Learning a natural-language to LTL executable semantic parser for grounded robotics
Christopher Wang, Candace Ross, Yen-Ling Kuo et al.
Learning an Expert Skill-Space for Replanning Dynamic Quadruped Locomotion over Obstacles
David Surovik, Oliwier Melon, Mathieu Geisert et al.
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
Robert Lee, Daniel Ward, Vibhavari Dasagi et al.