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Conference on Robot Learning · 会议 · Robotics

共收录 857
2211.16649 2022-12-01 cs.CV cs.AI cs.CL cs.RO

CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation

Vishnu Sashank Dorbala, Gunnar Sigurdsson, Robinson Piramuthu, Jesse Thomason, Gaurav S. Sukhatme

Comments 8 pages, Accepted at LangRob Workshop at Conference on Robot Learning (CoRL), 2022

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2211.14652 2022-11-29 cs.RO cs.AI cs.LG

Learning Bimanual Scooping Policies for Food Acquisition

Jennifer Grannen, Yilin Wu, Suneel Belkhale, Dorsa Sadigh

Comments Conference on Robot Learning (CoRL) 2022. First two authors contributed equally

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2207.09344 2022-11-29 cs.RO cs.LG cs.SY eess.SY

Online Dynamics Learning for Predictive Control with an Application to Aerial Robots

Tom Z. Jiahao, Kong Yao Chee, M. Ani Hsieh

Comments Accepted into Conference on Robot Learning (CoRL) 2022, 8 pages, 4 figures

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2210.08217 2022-11-28 cs.RO cs.AI cs.IT cs.LG math.IT

PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale

Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu

Comments CoRL 2022. 21 pages, 9 figures. The supplementary video is available at https://kuanghuei.github.io/piqtopt

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2211.11746 2022-11-22 cs.CV cs.AI cs.LG cs.RO

Last-Mile Embodied Visual Navigation

Justin Wasserman, Karmesh Yadav, Girish Chowdhary, Abhinav Gupta, Unnat Jain

Comments Accepted at CoRL 2022. Code and results available at https://jbwasse2.github.io/portfolio/SLING

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2211.11182 2022-11-22 cs.CV

Deep Projective Rotation Estimation through Relative Supervision

Brian Okorn, Chuer Pan, Martial Hebert, David Held

Comments Conference on Robot Learning (CoRL), 2022. Supplementary material is available at https://sites.google.com/view/deep-projective-rotation/home

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2211.11056 2022-11-22 cs.RO cs.AI cs.SY eess.SY

Safe Control Under Input Limits with Neural Control Barrier Functions

Simin Liu, Changliu Liu, John Dolan

Comments CORL 2022

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2211.09423 2022-11-21 cs.RO cs.CV cs.LG

DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation

Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Hao Su, Xiaolong Wang

Comments Conference on Robot Learning (CoRL) 2022; project page: https://yzqin.github.io/dexpoint

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2203.12601 2022-11-21 cs.RO cs.AI cs.CV cs.LG

R3M: A Universal Visual Representation for Robot Manipulation

Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta

Comments Conference on Robot Learning (CoRL) 2022

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2211.09786 2022-11-18 cs.RO cs.CV cs.LG

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields

Anthony Simeonov, Yilun Du, Lin Yen-Chen, Alberto Rodriguez, Leslie Pack Kaelbling, Tomas Lozano-Perez, Pulkit Agrawal

Comments CoRL 2022, first two authors contributed equally, website and code: https://anthonysimeonov.github.io/r-ndf/

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2207.03348 2022-11-18 cs.RO cs.AI cs.HC cs.LG

Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted Feeding in Groups

Jan Ondras, Abrar Anwar, Tong Wu, Fanjun Bu, Malte Jung, Jorge Jose Ortiz, Tapomayukh Bhattacharjee

Comments 6th Conference on Robot Learning (CoRL), 2022

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2202.12967 2022-11-18 cs.LG cs.AI stat.ML

Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates

Souradeep Dutta, Kaustubh Sridhar, Osbert Bastani, Edgar Dobriban, James Weimer, Insup Lee, Julia Parish-Morris

Comments Conference on Robot Learning (CoRL) 2022

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2211.09006 2022-11-17 cs.RO

ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds

Daniel Seita, Yufei Wang, Sarthak J. Shetty, Edward Yao Li, Zackory Erickson, David Held

Comments Conference on Robot Learning (CoRL), 2022. Supplementary material is available at https://sites.google.com/view/point-cloud-policy/home

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2211.08701 2022-11-17 cs.RO cs.CV cs.LG

Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction

Masha Itkina, Mykel J. Kochenderfer

Comments Conference on Robot Learning (CoRL) 2022, 15 pages, 4 figures

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2206.14349 2022-11-17 cs.RO cs.AI

Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision

Ryan Hoque, Lawrence Yunliang Chen, Satvik Sharma, Karthik Dharmarajan, Brijen Thananjeyan, Pieter Abbeel, Ken Goldberg

Comments CoRL 2022 Oral

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2211.07847 2022-11-16 cs.RO

Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning

Yoonchang Sung, Zizhao Wang, Peter Stone

Comments 17 pages, 3 figures, Published in the Conference on Robot Learning (CoRL), 2022

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2210.11435 2022-11-16 cs.LG cs.RO

Learning and Retrieval from Prior Data for Skill-based Imitation Learning

Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu

Comments Conference on Robot Learning (CoRL), 2022

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2211.07638 2022-11-15 cs.RO cs.AI cs.CV cs.LG cs.SY eess.SY

Legged Locomotion in Challenging Terrains using Egocentric Vision

Ananye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak

Comments Oral presentation at CoRL 2022. Website at https://vision-locomotion.github.io

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2211.07028 2022-11-15 cs.RO cs.HC cs.LG

Learning Visualization Policies of Augmented Reality for Human-Robot Collaboration

Kishan Chandan, Jack Albertson, Shiqi Zhang

Comments Accepted to the Conference on Robot Learning (CoRL), 2022

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2210.04625 2022-11-15 cs.CV cs.LG cs.RO

Robustness Certification of Visual Perception Models via Camera Motion Smoothing

Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao

Comments CoRL 2022 camera-ready version, 21 pages, 7 figures, 8 tables

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2209.05451 2022-11-14 cs.RO cs.AI cs.CL cs.CV cs.LG

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Mohit Shridhar, Lucas Manuelli, Dieter Fox

Comments CoRL 2022. Project Website: https://peract.github.io/

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2211.01991 2022-11-11 cs.RO cs.LG

Leveraging Fully Observable Policies for Learning under Partial Observability

Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt

Comments Accepted at the 2022 Conference on Robot Learning (CoRL), Auckland, New Zealand

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2210.08121 2022-11-10 cs.RO cs.LG

Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors

Niklas Freymuth, Nicolas Schreiber, Philipp Becker, Aleksandar Taranovic, Gerhard Neumann

Comments Accepted as a poster at the 6th Conference on Robot Learning (CoRL), 2022

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2211.03169 2022-11-08 cs.RO cs.LG

Learning Riemannian Stable Dynamical Systems via Diffeomorphisms

Jiechao Zhang, Hadi Beik-Mohammadi, Leonel Rozo

Comments To appear at CoRL 2022

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2211.03165 2022-11-08 cs.CV cs.RO

Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting

Parth Kothari, Danya Li, Yuejiang Liu, Alexandre Alahi

Comments CoRL 2022

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2211.02231 2022-11-07 cs.RO cs.AI cs.LG

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics

Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf

Comments 6th Conference on Robot Learning (CoRL), 2022

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2211.01500 2022-11-04 cs.RO cs.AI cs.LG

Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity

Wenxuan Zhou, David Held

Journal ref 6th Conference on Robot Learning (CoRL 2022)

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2209.11422 2022-11-01 cs.LG cs.RO

LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty

Mohamad H. Danesh, Panpan Cai, David Hsu

Comments CoRL 2022 (oral)

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2210.15779 2022-10-31 cs.RO

Adapting Neural Models with Sequential Monte Carlo Dropout

Pamela Carreno-Medrano, Dana Kulić, Michael Burke

Comments CoRL 2022

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2210.14721 2022-10-27 cs.LG cs.AI

Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data

John So, Amber Xie, Sunggoo Jung, Jeffrey Edlund, Rohan Thakker, Ali Agha-mohammadi, Pieter Abbeel, Stephen James

Comments CoRL 2022 Paper

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