Papers
959 papers found
Adversarially Robust Imitation Learning
Jianren Wang, Ziwen Zhuang, Yuyang Wang et al.
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization
Youngwoon Lee, Joseph J Lim, Anima Anandkumar et al.
Aligning an optical interferometer with beam divergence control and continuous action space
Stepan Makarenko, Dmitry Igorevich Sorokin, Alexander Ulanov et al.
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Julian Wiederer, Arij Bouazizi, Marco Troina et al.
Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices
Yuedong Yang, Zihui Xue, Radu Marculescu
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
Valts Blukis, Chris Paxton, Dieter Fox et al.
Assisted Robust Reward Design
Jerry Zhi-Yang He, Anca D. Dragan
A System for General In-Hand Object Re-Orientation
Tao Chen, Jie Xu, Pulkit Agrawal
Auditing Robot Learning for Safety and Compliance during Deployment
Homanga Bharadhwaj
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale
Yao Lu, Karol Hausman, Yevgen Chebotar et al.
A Workflow for Offline Model-Free Robotic Reinforcement Learning
Aviral Kumar, Anikait Singh, Stephen Tian et al.
Back to Reality for Imitation Learning
Edward Johns
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
Eric Jang, Alex Irpan, Mohi Khansari et al.
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
Sanjana Srivastava, Chengshu Li, Michael Lingelbach et al.
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
Alex X. Lee, Coline Manon Devin, Yuxiang Zhou et al.
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
brian ichter, Pierre Sermanet, Corey Lynch
CLASP: Constrained Latent Shape Projection for Refining Object Shape from Robot Contact
Brad Saund, Dmitry Berenson
CLIPort: What and Where Pathways for Robotic Manipulation
Mohit Shridhar, Lucas Manuelli, Dieter Fox
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
Chen Wang, Claudia Pérez-D’Arpino, Danfei Xu et al.
Collect & Infer - a fresh look at data-efficient Reinforcement Learning
Martin Riedmiller, Jost Tobias Springenberg, Roland Hafner et al.
Continuous then discrete: A recommendation for building robotic brains
Chris Eliasmith, P. Michael Furlong
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations
Minghan Zhu, Maani Ghaffari, Huei Peng
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
Jinning Li, Chen Tang, Masayoshi Tomizuka et al.
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning
Sumeet Batra, Zhehui Huang, Aleksei Petrenko et al.
Decentralized Sharing and Valuation of Fleet Robotic Data
Yuchong Geng, Dongyue Zhang, Po-han Li et al.