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Robotics: Science and Systems · 会议 · Robotics

共收录 703
1802.01744 2018-05-24 cs.LG cs.HC cs.RO

Shared Autonomy via Deep Reinforcement Learning

Siddharth Reddy, Anca D. Dragan, Sergey Levine

Comments Accepted to the Robotics: Science and Systems (RSS) 2018 conference

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1801.10465 2018-05-23 cs.RO cs.DS

Constant Factor Time Optimal Multi-Robot Routing on High-Dimensional Grids in Mostly Sub-Quadratic Time

Jingjin Yu

Comments 26 pages, 30 figures, a short version appearing in the 2018 Robotics: Science and Systems

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1804.05172 2018-05-16 cs.RO

Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach

Douglas Morrison, Peter Corke, Jürgen Leitner

Comments Robotics: Science and Systems (RSS), 2018. Code: http://github.com/dougsm/ggcnn Video: http://www.youtube.com/watch?v=7nOoxuGEcxA

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1805.04220 2018-05-14 cs.AI cs.LG

Human-Machine Collaborative Optimization via Apprenticeship Scheduling

Matthew Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie Shah

Comments Portions of this paper were published in the Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) in 2016 and in the Proceedings of Robotics: Science and Systems (RSS) in 2016. The paper consists of 50 pages with 11 figures and 4 tables

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1804.10544 2018-04-30 cs.RO cs.AI cs.LG stat.ML

Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots

Sahil Garg, Nora Ayanian

Comments Robotics Science and Systems, 2014 (RSS-14)

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1309.0671 2018-02-13 cs.RO cs.AI cs.LG cs.MS

BayesOpt: A Library for Bayesian optimization with Robotics Applications

Ruben Martinez-Cantin

Comments Robotics: Science and Systems, Workshop on Active Learning in Robotics: Exploration, Curiosity, and Interaction

Journal ref Journal of Machine Learning Research, 15(Nov), 3915-3919, 2014

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1705.10300 2017-12-18 cs.RO

Effective Metrics for Multi-Robot Motion-Planning

Aviel Atias, Kiril Solovey, Oren Salzman, Dan Halperin

Comments Extended version for the Robotics: Science and Systems conference, 2017

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1709.01947 2017-09-08 math.OC cs.RO

Feedback Synthesis for Controllable Underactuated Systems using Sequential Second Order Actions

Giorgos Mamakoukas, Malcolm A. MacIver, Todd D. Murphey

Comments 9 pages

Journal ref Robotics: Science and Systems Proceedings, 2017

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1709.01568 2017-09-07 cs.RO math.OC

Model-Based Control Using Koopman Operators

Ian Abraham, Gerardo De La Torre, Todd D. Murphey

Comments 8 pages

Journal ref Robotics: Science and Systems Proceedings, 2017

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1709.00376 2017-09-04 math.OC cs.RO

Online Feedback Control for Input-Saturated Robotic Systems on Lie Groups

Taosha Fan, Todd Murphey

Journal ref Robotics: Science and Systems Proceedings, 2016

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1603.00939 2017-08-15 cs.MA

Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms

Rick Zhang, Federico Rossi, Marco Pavone

Comments 11 pages, 3 figures. Presented at Robotics: Science and Systems (RSS) 2016. Version 2 is the extended version of the final submission included in the conference proceedings. The title of the initial submission was modified in deference to RSS's double-blind submission process: in this version, the title matches the published paper

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1703.09312 2017-08-10 cs.RO

Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, Ken Goldberg

Comments To appear at Robotics: Science and Systems 2017

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1705.09805 2017-07-25 cs.RO cs.CV cs.LG

PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations

Rico Jonschkowski, Roland Hafner, Jonathan Scholz, Martin Riedmiller

Comments Accepted at Robotics: Science and Systems (RSS 2017) Workshop -- New Frontiers for Deep Learning in Robotics http://juxi.net/workshop/deep-learning-rss-2017/

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1707.07385 2017-07-25 cs.RO

End-to-End Navigation in Unknown Environments using Neural Networks

Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar

Comments Workshop on Learning Perception and Control for Autonomous Flight: Safety, Memory and Efficiency, Robotics Science and Systems 2017

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1707.02069 2017-07-25 cs.CV

A spatiotemporal model with visual attention for video classification

Mo Shan, Nikolay Atanasov

Comments Accepted by Robotics: Science and Systems 2017 Workshop on Articulated Model Tracking

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1707.05720 2017-07-19 cs.RO cs.AI cs.CL

Grounding Spatio-Semantic Referring Expressions for Human-Robot Interaction

Mohit Shridhar, David Hsu

Comments 8 pages, 4 figures, Accepted at RSS 2017 Workshop on Spatial-Semantic Representations in Robotics

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1707.01532 2017-07-07 cs.RO

Gaussian Processes Semantic Map Representation

Maani Ghaffari Jadidi, Lu Gan, Steven A. Parkison, Jie Li, Ryan M. Eustice

Comments Accepted for RSS 2017 Workshop on Spatial-Semantic Representations in Robotics

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1706.09829 2017-06-30 cs.RO

Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning

Linhai Xie, Sen Wang, Andrew Markham, Niki Trigoni

Comments Accepted by RSS 2017 workshop New Frontiers for Deep Learning in Robotics

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1611.04201 2017-06-09 cs.LG cs.CV cs.RO

CAD2RL: Real Single-Image Flight without a Single Real Image

Fereshteh Sadeghi, Sergey Levine

Comments To appear at Robotics: Science and Systems Conference (R:SS), 2017. Supplementary video: https://www.youtube.com/watch?v=nXBWmzFrj5s

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1706.01977 2017-06-08 cs.RO

From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion

Kevin Sebastian Luck, Joseph Campbell, Michael Andrew Jansen, Daniel M. Aukes, Heni Ben Amor

Comments Submitted to Robotics: Science and Systems (RSS 2017)

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1705.10907 2017-06-01 cs.RO

Provably Safe Robot Navigation with Obstacle Uncertainty

Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Comments RSS 2017

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1703.03098 2017-06-01 cs.CV cs.RO

DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks

Yu Xiang, Dieter Fox

Comments Published in RSS 2017

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1705.10664 2017-05-31 cs.RO

A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation

Jiaji Zhou, J. Andrew Bagnell, Matthew T. Mason

Comments Robotics: Science and Systems 2017

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1705.07834 2017-05-23 cs.RO

Adaptive Information Gathering via Imitation Learning

Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian Scherer, Debadeepta Dey

Comments Robotics Science and Systems, 2017

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1704.03639 2017-04-13 stat.ML stat.ME

Joint Semi-supervised RSS Dimensionality Reduction and Fingerprint Based Algorithm for Indoor Localization

Caifa Zhou, Lin Ma, Xuezhi Tan

Comments 14 figures. Institute of Navigation (ION GNSS+ 2014), 27th International Technical Meeting of The Satellite Division Conference on

Journal ref Zhou, C.F. et al., 2016. Joint Semi-supervised RSS Dimensionality Reduction and Fingerprint Based Algorithm for Indoor Localization. , (SEPTEMBER 2014)

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1703.04665 2017-03-16 cs.RO cs.CV

Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects

Alexander Broad, Brenna Argall

Comments Update based on work presented at RSS 2016 Deep Learning Workshop

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1702.00733 2017-02-03 cs.RO

Analysis of Rigid Extended Object Co-Manipulation by Human Dyads: Lateral Movement Characterization

Erich A. Mielke, Eric C. Townsend, Marc D. Killpack

Comments 8 Pages RSS 2017

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1612.00480 2016-12-05 cs.MA cs.RO

A Scalable and Adaptable Multiple-Place Foraging Algorithm for Ant-Inspired Robot Swarms

Qi Lu, Melanie E. Moses, Joshua P. Hecker

Comments Robotics: Science and Systems, Swarm robotics, Scalable System, 7 pages, 10 figures

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1608.07916 2016-08-30 cs.CV cs.RO

Vehicle Detection from 3D Lidar Using Fully Convolutional Network

Bo Li, Tianlei Zhang, Tian Xia

Comments Robotics: Science and Systems, 2016

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1606.06266 2016-06-21 cs.CV cs.RO

Detection and Tracking of Liquids with Fully Convolutional Networks

Connor Schenck, Dieter Fox

Comments Published in the Proceedings of Robotics Science & Systems (RSS) 2016 Workshop Are the Skeptics Right? Limits and Potentials of Deep Learning in Robotics

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