Fetching the paper…
Reading the bibliography…
Large, richly annotated datasets have accelerated progress in fields such as computer vision and natural language processing, but replicating these successes in robotics has been challenging.
“Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research”
Sandra Hart and Lowell Staveland · 1988
Earlier work this paper cites.
“Alvinn: An autonomous land vehicle in a neural network”
Dean Pomerleau · 1989
Earlier work this paper cites.
“Beyond the web: Excavating the real world via mosaic”
Ken Goldberg · 1994
Earlier work this paper cites.
“Algorithms for inverse reinforcement learning.”
Andrew Ng and Stuart Russell · 2000
Earlier work this paper cites.
“Teleoperation of a robot manipulator using a vision-based human-robot interface”
Jonathan Kofman, Xianghai Wu, Timothy Luu and Siddharth Verma · 2005
Earlier work this paper cites.
“A multimodal interface to control a robot arm via the web: a case study on remote programming”
Raúl Marín, Pedro Sanz, Patricio Nebot and Raul Wirz · 2005
Earlier work this paper cites.
“A survey of robot learning from demonstration”
Brenna Argall, Sonia Chernova, Manuela Veloso and Brett Browning · 2009
Earlier work this paper cites.
“Imagenet: A large-scale hierarchical image database”
Jia Deng et al · 2009
Earlier work this paper cites.
“The columbia grasp database”
Corey Goldfeder, Matei Ciocarlie, Hao Dang and Peter Allen · 2009
Earlier work this paper cites.
“Autonomous helicopter aerobatics through apprenticeship learning”
Pieter Abbeel, Adam Coates and Andrew Ng · 2010
Earlier work this paper cites.
“People helping robots helping people: Crowdsourcing for grasping novel objects”
Alexander Sorokin, Dmitry Berenson, Siddhartha Srinivasa and Martial Hebert · 2010
Earlier work this paper cites.
“Inverse reinforcement learning”
Pieter Abbeel and Andrew Ng · 2011
Earlier work this paper cites.
“Relative entropy inverse reinforcement learning”
Abdeslam Boularias, Jens Kober and Jan Peters · 2011
Earlier work this paper cites.
“The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics”
Alexander Kasper, Zhixing Xue and Rüdiger Dillmann · 2012
Earlier work this paper cites.
“Learning monocular reactive uav control in cluttered natural environments”
Stéphane Ross et al · 2013
Earlier work this paper cites.
“Robot programming by demonstration with crowdsourced action fixes”
Maxwell Forbes, Michael-Yoon Chung, Maya Cakmak and Rajesh Rao · 2014
Cited alongside, same era.
“JHU-ISI Gesture and Skill Assessment Working Set ( JIGSAWS ) : A Surgical Activity Dataset for Human Motion Modeling”, 2014
Yixin Gao et al · 2014
Cited alongside, same era.
“The robot management system: A framework for conducting human-robot interaction studies through crowdsourcing”
Russell Toris, David Kent and Sonia Chernova · 2014
Cited alongside, same era.
“First-person tele-operation of a humanoid robot”
Lars Fritsche, Felix Unverzag, Jan Peters and Roberto Calandra · 2015
Cited alongside, same era.
“A survey of research on cloud robotics and automation”
Ben Kehoe, Sachin Patil, Pieter Abbeel and Ken Goldberg · 2015
Cited alongside, same era.
“Learning hand-eye coordination for robotic grasping with large-scale data collection”
“Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation”
Tianhao Zhang et al · 2017
Later among the works it cites.
“Playing hard exploration games by watching youtube”
Yusuf Aytar et al · 2018
Later among the works it cites.
“Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation”
Dmitry Kalashnikov et al · 2018
Later among the works it cites.
“Baxter’s Homunculus: Virtual Reality Spaces for Teleoperation in Manufacturing”
Jeffrey Lipton, Aidan Fay and Daniela Rus · 2018
Later among the works it cites.
“RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation”
Ajay Mandlekar et al · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Sergey Levine, Peter Pastor, Alex Krizhevsky and Deirdre Quillen · 2016
Cited alongside, same era.
“Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours”
Lerrel Pinto and Abhinav Gupta · 2016
Cited alongside, same era.
“Learning from demonstrations through the use of non-rigid registration”
John Schulman, Jonathan Ho, Cameron Lee and Pieter Abbeel · 2016
Cited alongside, same era.
“More than a million ways to be pushed. a high-fidelity experimental dataset of planar pushing”
Kuan-Ting Yu, Maria Bauza, Nima Fazeli and Alberto Rodriguez · 2016
Cited alongside, same era.
“A comparison of remote robot teleoperation interfaces for general object manipulation”
David Kent, Carl Saldanha and Sonia Chernova · 2017
Cited alongside, same era.
Jeffrey Mahler et al · 2017
Cited alongside, same era.
“Leveraging demonstrations for deep reinforcement learning on robotics problems with sparse rewards”
Matej Večerík et al · 2017
Cited alongside, same era.
Pranav Rajpurkar, Robin Jia and Percy Liang · 2018
Later among the works it cites.
“Time-contrastive networks: Self-supervised learning from video”
Pierre Sermanet et al · 2018
Later among the works it cites.
“Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation”
Pratyusha Sharma, Lekha Mohan, Lerrel Pinto and Abhinav Gupta · 2018
Later among the works it cites.
“Robobarista: Object part based transfer of manipulation trajectories from crowd-sourcing in 3d pointclouds”
Jaeyong Sung, Seok Jin and Ashutosh Saxena · 2018
Later among the works it cites.
“One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning”
Tianhe Yu et al · 2018
Later among the works it cites.
“Mechanical Search: Learning Manipulation Strategies to Extract a Specific Object from a Bin of Unknown Objects”
Michael Danielczuk et al · 2019
Closest in time.
“Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks”
Stephen James et al · 2019
Closest in time.
“SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards”
Sanjay Krishnan et al · 2019
Closest in time.
“Bilateral teleoperation: An historical survey”
Peter Hokayem and Mark Spong · 2057
Closest in time.