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This paper introduces PyRobot, an open-source robotics framework for research and benchmarking.
A robust layered control system for a mobile robot
R. Brooks · 1985
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Building a large annotated corpus of english: The penn treebank
M. Marcus, B. Santorini, and M. A. Marcinkiewicz · 1993
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Density-based spatial clustering of applications with noise
M. Ester, H.-P. Kriegel, J. Sander, and X. Xu · 1996
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The dynamic window approach to collision avoidance
D. Fox, W. Burgard, and S. Thrun · 1997
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Open robot control software: the orocos project
H. Bruyninckx · 2001
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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
D. Martin, C. Fowlkes, D. Tal, and J. Malik · 2001
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Design and use paradigms for gazebo, an open-source multi-robot simulator
N. Koenig and A. Howard · 2004
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On the benefits of making robotic software frameworks thin
A. Makarenko, A. Brooks, and T. Kaupp · 2007
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Openrave: A planning architecture for autonomous robotics
R. Diankov and J. Kuffner · 2008
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The columbia grasp database
C. Goldfeder, M. Ciocarlie, H. Dang, and P. Allen · 2009
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Ability to hold grasped objects by underactuated hands: Performance prediction and experiments
G. Kragten, A. Kool, and J. Herder · 2009
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ROS: an open-source robot operating system
M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A. Y. Ng · 2009
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Learning to control a low-cost manipulator using data-efficient reinforcement learning
M. P. Deisenroth, C. E. Rasmussen, and D. Fox · 2011
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Introduction to stochastic control theory
K. J. Åström · 2012
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Moveit![ros topics]
S. Chitta, I. Sucan, and S. Cousins · 2012
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The kit object models database: An object model database for object recognition, localization and manipulation in service robotics
A. Kasper, Z. Xue, and R. Dillman · 2012
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Raven-ii: An open platform for surgical robotics research
J. Rosen, D. Friedman, H. King, P. Roan, L. Cheng, D. Glozman, J. Ma, S. Kosari, and L. White · 2012
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The open motion planning library
I. Sucan, M. Moll, and L. Kavraki · 2012
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Mujoco: A physics engine for model-based control
E. Todorov, T. Erez, and Y. Tassa · 2012
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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The stanford corenlp natural language processing toolkit
C. Manning, M. Surdeanu, J. Bauer, J. Finkel, S. Bethard, and D. McClosky · 2014
Cited alongside, same era.
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng · 2015
Cited alongside, same era.
Benchmarking in manipulation research: Using the yale-cmu-berkeley object and model set
B. Calli, A. Walsman, A. Singh, S. Srinivasa, P. Abbeel, and A. Dollar · 2015
Cited alongside, same era.
The pascal visual object classes challenge: A retrospective
M. Everingham, S. M. A. Eslami, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2015
Cited alongside, same era.
ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
https://www.irobot.com/about-irobot/stem/create-2 , 2018
Create2 mobile base · 2018
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https://www.franka.de/ , 2018
Franka emika specification · 2018
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https://click.intel.com/intelr-realsensetm-depth-camera-d435.html , 2018
Intel realsense d435 rgbd camera · 2018
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http://kobuki.yujinrobot.com/about2/ , 2018
Kobuki mobile base · 2018
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http://emanual.robotis.com/docs/en/platform/openmanipulator_x/overview/ , 2018
Open manipulator project · 2018
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https://www.trossenrobotics.com/widowx-200-robot-arm-mobile-base.aspx , 2018
Trossen widow x robotic arm · 2018
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Cited alongside, same era.
https://www.rethinkrobotics.com/sawyer/tech-specs/ , 2016
Sawyer technical specifications · 2016
Cited alongside, same era.
https://www.universal-robots.com/media/50588/ur5_en.pdf , 2016
Ur5 technical specifications · 2016
Cited alongside, same era.
Learning to poke by poking: Experiential learning of intuitive physics
P. Agrawal, A. V. Nair, P. Abbeel, J. Malik, and S. Levine · 2016
Cited alongside, same era.
End-to-end training of deep visuomotor policies
S. Levine, C. Finn, T. Darrell, and P. Abbeel · 2016
Cited alongside, same era.
Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards
J. Mahler, F. T. Pokorny, B. Hou, M. Roderick, M. Laskey, M. Aubry, K. Kohlhoff, T. Kröger, J. Kuffner, and K. Goldberg · 2016
Cited alongside, same era.
The curious robot: Learning visual representations via physical interactions
L. Pinto, D. Gandhi, Y. Han, Y.-L. Park, and A. Gupta · 2016
Cited alongside, same era.
Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
L. Pinto and A. Gupta · 2016
Cited alongside, same era.
https://github.com/rbgirshick/yacs , 2018
YACS – yet another configuration system · 2018
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Learning dexterous in-hand manipulation
M. Andrychowicz, B. Baker, M. Chociej, R. Jozefowicz, B. McGrew, J. Pachocki, A. Petron, M. Plappert, G. Powell, A. Ray, J. Schneider, J. T. Szymon Sidor, P. Welinder, L. Weng, and W. Zaremba · 2018
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Senteval: An evaluation toolkit for universal sentence representations
A. Conneau and D. Kiela · 2018
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Robot learning in homes: Improving generalization and reducing dataset bias
A. Gupta, A. Murali, D. Gandhi, and L. Pinto · 2018
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Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
S. Levine, P. Pastor, A. Krizhevsky, J. Ibarz, and D. Quillen · 2018
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Guest editorial open discussion of robot grasping benchmarks, protocols, and metrics
J. Mahler et al · 2018
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Gibson env: real-world perception for embodied agents
F. Xia, A. R. Zamir, Z.-Y. He, A. Sax, J. Malik, and S. Savarese · 2018
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Dexterous manipulation with deep reinforcement learning: Efficient, general, and low-cost
H. Zhu, A. Gupta, A. Rajeswaran, S. Levine, and V. Kumar · 2018
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http://www.ycbbenchmarks.com/ICRA2019_workshop , 2019
ICRA workshop on benchmarks for robotic manipulation · 2019
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https://sites.google.com/view/icra-2019-workshop/home , 2019
ICRA workshop on dataset generation and benchmarking of slam algorithms for robotics and vr/ar · 2019
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Quasi-direct drive for low-cost compliant robotic manipulation
D. Gealy, S. McKinley, B. Yi, P. Wu, P. Downey, G. Balke, A. Zhao, M. Guo, R. Thomasson, A. Sinclair, P. Cuellar, Z. McCarthy, and P. Abbeel · 2019
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Learning agile and dynamic motor skills for legged robots
J. Hwangbo, J. Lee, A. Dosovitskiy, D. Bellicoso, V. Tsounis, V. Koltun, and M. Hutter · 2019
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Habitat: A platform for embodied ai research
Manolis Savva*, Abhishek Kadian*, Oleksandr Maksymets*, Y. Zhao, E. Wijmans, B. Jain, J. Straub, J. Liu, V. Koltun, J. Malik, D. Parikh, and D. Batra · 2019
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GLUE: A multi-task benchmark and analysis platform for natural language understanding
A. Wang, A. Singh, J. Michael, F. Hill, O. Levy, and S. R. Bowman · 2019
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Replab: A reproducible low-cost arm benchmark platform for robotic learning
B. Yang, J. Zhang, V. Pong, S. Levine, and D. Jayaraman · 2019
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