ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.07049
  4. Cited By
Robot Learning in Homes: Improving Generalization and Reducing Dataset
  Bias

Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias

Neural Information Processing Systems (NeurIPS), 2018
18 July 2018
Abhinav Gupta
Adithyavairavan Murali
Dhiraj Gandhi
Lerrel Pinto
ArXiv (abs)PDFHTML

Papers citing "Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias"

50 / 107 papers shown
Improving Policy Optimization with Generalist-Specialist Learning
Improving Policy Optimization with Generalist-Specialist LearningInternational Conference on Machine Learning (ICML), 2022
Zhiwei Jia
Xuanlin Li
Z. Ling
Shuang Liu
Yiran Wu
H. Su
OffRL
186
32
0
26 Jun 2022
Domain Generalization via Selective Consistency Regularization for Time
  Series Classification
Domain Generalization via Selective Consistency Regularization for Time Series ClassificationInternational Conference on Pattern Recognition (ICPR), 2022
Wenyu Zhang
Mohamed Ragab
Chuan-Sheng Foo
OODAI4TS
263
2
0
16 Jun 2022
Is Mapping Necessary for Realistic PointGoal Navigation?
Is Mapping Necessary for Realistic PointGoal Navigation?Computer Vision and Pattern Recognition (CVPR), 2022
Ruslan Partsey
Erik Wijmans
Naoki Yokoyama
Oles Dobosevych
Dhruv Batra
Oleksandr Maksymets
3DPC
322
53
0
02 Jun 2022
Unsupervised Learning of Unbiased Visual Representations
Unsupervised Learning of Unbiased Visual RepresentationsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
C. Barbano
Enzo Tartaglione
Marco Grangetto
SSLCMLOOD
278
1
0
26 Apr 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot
  Manipulation?
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?Conference on Learning for Dynamics & Control (L4DC), 2022
Yuchen Cui
S. Niekum
Abhi Gupta
Vikash Kumar
Aravind Rajeswaran
LM&Ro
188
89
0
23 Apr 2022
One After Another: Learning Incremental Skills for a Changing World
One After Another: Learning Incremental Skills for a Changing WorldInternational Conference on Learning Representations (ICLR), 2022
Nur Muhammad (Mahi) Shafiullah
Lerrel Pinto
CLL
201
15
0
21 Mar 2022
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot
  Object Navigation
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationComputer Vision and Pattern Recognition (CVPR), 2022
S. Gadre
Mitchell Wortsman
Gabriel Ilharco
Ludwig Schmidt
Shuran Song
CLIPLM&Ro
337
234
0
20 Mar 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
VRL3: A Data-Driven Framework for Visual Deep Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Che Wang
Xufang Luo
George Andriopoulos
Dongsheng Li
OffRL
409
62
0
17 Feb 2022
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
BC-Z: Zero-Shot Task Generalization with Robotic Imitation LearningConference on Robot Learning (CoRL), 2022
Eric Jang
A. Irpan
Mohi Khansari
Daniel Kappler
F. Ebert
Corey Lynch
Sergey Levine
Chelsea Finn
LM&Ro
682
693
0
04 Feb 2022
Practical Imitation Learning in the Real World via Task Consistency Loss
Practical Imitation Learning in the Real World via Task Consistency Loss
Mohi Khansari
Daniel Ho
Yuqing Du
Armando Fuentes
Matthew Bennice
Nicolas Sievers
Sean Kirmani
Yunfei Bai
Eric Jang
SSL
226
8
0
03 Feb 2022
Tool as Embodiment for Recursive Manipulation
Tool as Embodiment for Recursive Manipulation
Yukiyasu Noguchi
T. Matsushima
Y. Matsuo
S. Gu
297
8
0
01 Dec 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement
  Learning and Goal-Aware State Information
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information
Jin Li
Xianyuan Zhan
Zixu Xiao
Guyue Zhou
OffRLOnRL
182
2
0
21 Oct 2021
A Simple Approach to Continual Learning by Transferring Skill Parameters
A Simple Approach to Continual Learning by Transferring Skill Parameters
K.R. Zentner
Ryan Julian
Ujjwal Puri
Yulun Zhang
Gaurav Sukhatme
CLL
157
3
0
19 Oct 2021
Waypoint Models for Instruction-guided Navigation in Continuous
  Environments
Waypoint Models for Instruction-guided Navigation in Continuous Environments
Jacob Krantz
Aaron Gokaslan
Dhruv Batra
Stefan Lee
Oleksandr Maksymets
LM&Ro
307
120
0
05 Oct 2021
The Design of Stretch: A Compact, Lightweight Mobile Manipulator for
  Indoor Human Environments
The Design of Stretch: A Compact, Lightweight Mobile Manipulator for Indoor Human EnvironmentsIEEE International Conference on Robotics and Automation (ICRA), 2021
Charles C. Kemp
Aaron Edsinger
Henry M. Clever
Blaine Matulevich
241
104
0
22 Sep 2021
Benchmarking Augmentation Methods for Learning Robust Navigation Agents:
  the Winning Entry of the 2021 iGibson Challenge
Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson ChallengeIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Naoki Yokoyama
Qian Luo
Dhruv Batra
Sehoon Ha
316
12
0
22 Sep 2021
Fully Autonomous Real-World Reinforcement Learning with Applications to
  Mobile Manipulation
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile ManipulationConference on Robot Learning (CoRL), 2021
Charles Sun
Jkedrzej Orbik
Coline Devin
Brian Yang
Abhishek Gupta
Glen Berseth
Sergey Levine
SSL
280
67
0
28 Jul 2021
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic
  Data via Stereo
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via StereoConference on Robot Learning (CoRL), 2021
Thomas Kollar
Michael Laskey
Kevin Stone
Brijen Thananjeyan
Mark Tjersland
255
29
0
30 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual
  Policies
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual PoliciesInternational Conference on Machine Learning (ICML), 2021
Linxi Fan
Guanzhi Wang
De-An Huang
Zhiding Yu
Li Fei-Fei
Yuke Zhu
Anima Anandkumar
OffRL
247
72
0
17 Jun 2021
ManipulaTHOR: A Framework for Visual Object Manipulation
ManipulaTHOR: A Framework for Visual Object ManipulationComputer Vision and Pattern Recognition (CVPR), 2021
Kiana Ehsani
Winson Han
Alvaro Herrasti
Eli VanderBilt
Luca Weihs
Eric Kolve
Aniruddha Kembhavi
Roozbeh Mottaghi
LM&Ro
830
151
0
22 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human
  Videos
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Annie S. Chen
Suraj Nair
Chelsea Finn
233
168
0
31 Mar 2021
Success Weighted by Completion Time: A Dynamics-Aware Evaluation
  Criteria for Embodied Navigation
Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied NavigationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Naoki Yokoyama
Sehoon Ha
Dhruv Batra
275
33
0
14 Mar 2021
EnD: Entangling and Disentangling deep representations for bias
  correction
EnD: Entangling and Disentangling deep representations for bias correctionComputer Vision and Pattern Recognition (CVPR), 2021
Enzo Tartaglione
C. Barbano
Marco Grangetto
302
137
0
02 Mar 2021
Transfer Reinforcement Learning across Homotopy Classes
Transfer Reinforcement Learning across Homotopy ClassesIEEE Robotics and Automation Letters (RA-L), 2021
Zhangjie Cao
Minae Kwon
Dorsa Sadigh
143
20
0
10 Feb 2021
droidlet: modular, heterogenous, multi-modal agents
droidlet: modular, heterogenous, multi-modal agentsIEEE International Conference on Robotics and Automation (ICRA), 2021
Anurag Pratik
Soumith Chintala
Kavya Srinet
Dhiraj Gandhi
Rebecca Qian
...
Anoushka Tiwari
Tucker Hart
Mary Williamson
Abhinav Gupta
Arthur Szlam
VLMLM&Ro
138
3
0
25 Jan 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution ShiftsInternational Conference on Machine Learning (ICML), 2020
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Abigail Z. Jacobs
OOD
670
1,646
0
14 Dec 2020
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer
DIRL: Domain-Invariant Representation Learning for Sim-to-Real TransferConference on Robot Learning (CoRL), 2020
A. Tanwani
OOD
170
29
0
15 Nov 2020
Robust Policies via Mid-Level Visual Representations: An Experimental
  Study in Manipulation and Navigation
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and NavigationConference on Robot Learning (CoRL), 2020
B. Chen
Alexander Sax
Gene Lewis
Iro Armeni
Silvio Savarese
Amir Zamir
Jitendra Malik
Lerrel Pinto
145
49
0
13 Nov 2020
Same Object, Different Grasps: Data and Semantic Knowledge for
  Task-Oriented Grasping
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented GraspingConference on Robot Learning (CoRL), 2020
Adithyavairavan Murali
Weiyu Liu
Kenneth Marino
Sonia Chernova
Abhinav Gupta
244
76
0
12 Nov 2020
Robots of the Lost Arc: Self-Supervised Learning to Dynamically
  Manipulate Fixed-Endpoint Cables
Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables
Harry Zhang
Jeffrey Ichnowski
Daniel Seita
Jonathan Wang
Huang Huang
Ken Goldberg
426
54
0
10 Nov 2020
RealAnt: An Open-Source Low-Cost Quadruped for Education and Research in
  Real-World Reinforcement Learning
RealAnt: An Open-Source Low-Cost Quadruped for Education and Research in Real-World Reinforcement Learning
Rinu Boney
Jussi Sainio
M. Kaivola
Arno Solin
Arno Solin
194
7
0
05 Nov 2020
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented
  Grasps
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps
Jialiang Zhao
Daniel M. Troniak
Oliver Kroemer
103
15
0
04 Nov 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement
  Learning
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Avi Singh
Albert Yu
Jonathan Yang
Jesse Zhang
Aviral Kumar
Sergey Levine
SSLOffRLOnRL
266
109
0
27 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement
  Learning
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
Annie S. Chen
H. Nam
Suraj Nair
Chelsea Finn
OffRL
185
27
0
22 Oct 2020
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of
  Robotic Grasps
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic GraspsNeural Information Processing Systems (NeurIPS), 2020
Chaozheng Wu
Jian Chen
Qiaoyu Cao
Jianchi Zhang
Yunxin Tai
Lin Sun
Kui Jia
200
63
0
26 Sep 2020
AllenAct: A Framework for Embodied AI Research
AllenAct: A Framework for Embodied AI Research
Luca Weihs
Jordi Salvador
Klemen Kotar
Unnat Jain
Kuo-Hao Zeng
Roozbeh Mottaghi
Aniruddha Kembhavi
LM&RoAI4CE
215
77
0
28 Aug 2020
OpenBot: Turning Smartphones into Robots
OpenBot: Turning Smartphones into Robots
Matthias Muller
V. Koltun
155
24
0
24 Aug 2020
Visual Imitation Made Easy
Visual Imitation Made EasyConference on Robot Learning (CoRL), 2020
S. Young
Dhiraj Gandhi
Shubham Tulsiani
Abhinav Gupta
Pieter Abbeel
Lerrel Pinto
264
151
0
11 Aug 2020
A non-discriminatory approach to ethical deep learning
A non-discriminatory approach to ethical deep learning
Enzo Tartaglione
Marco Grangetto
117
3
0
04 Aug 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsInternational Conference on Learning Representations (ICLR), 2020
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
479
874
0
28 Apr 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic
  Reinforcement Learning
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan Julian
Benjamin Swanson
Gaurav Sukhatme
Sergey Levine
Chelsea Finn
Karol Hausman
OnRLCLL
188
44
0
21 Apr 2020
Learning Predictive Representations for Deformable Objects Using
  Contrastive Estimation
Learning Predictive Representations for Deformable Objects Using Contrastive EstimationConference on Robot Learning (CoRL), 2020
Wilson Yan
Ashwin Vangipuram
Pieter Abbeel
Lerrel Pinto
325
201
0
11 Mar 2020
TAdam: A Robust Stochastic Gradient Optimizer
TAdam: A Robust Stochastic Gradient Optimizer
Wendyam Eric Lionel Ilboudo
Taisuke Kobayashi
Kenji Sugimoto
ODL
177
13
0
29 Feb 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
268
621
0
23 Dec 2019
Grasping in the Wild:Learning 6DoF Closed-Loop Grasping from Low-Cost
  Demonstrations
Grasping in the Wild:Learning 6DoF Closed-Loop Grasping from Low-Cost DemonstrationsIEEE Robotics and Automation Letters (RA-L), 2019
Shuran Song
Andy Zeng
Johnny Lee
Thomas Funkhouser
330
256
0
09 Dec 2019
Learning to Manipulate Deformable Objects without Demonstrations
Learning to Manipulate Deformable Objects without Demonstrations
Yilin Wu
Wilson Yan
Thanard Kurutach
Lerrel Pinto
Pieter Abbeel
OffRL
259
216
0
29 Oct 2019
RoboNet: Large-Scale Multi-Robot Learning
RoboNet: Large-Scale Multi-Robot LearningConference on Robot Learning (CoRL), 2019
Sudeep Dasari
F. Ebert
Stephen Tian
Suraj Nair
Bernadette Bucher
Karl Schmeckpeper
Siddharth Singh
Sergey Levine
Chelsea Finn
LM&Ro
477
360
0
24 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement LearningConference on Robot Learning (CoRL), 2019
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
683
1,423
0
24 Oct 2019
Towards Precise Robotic Grasping by Probabilistic Post-grasp
  Displacement Estimation
Towards Precise Robotic Grasping by Probabilistic Post-grasp Displacement EstimationInternational Symposium on Field and Service Robotics (FSR), 2019
Jialiang Zhao
Jacky Liang
Oliver Kroemer
85
12
0
04 Sep 2019
RUBi: Reducing Unimodal Biases in Visual Question Answering
RUBi: Reducing Unimodal Biases in Visual Question AnsweringNeural Information Processing Systems (NeurIPS), 2019
Rémi Cadène
Corentin Dancette
H. Ben-younes
Matthieu Cord
Devi Parikh
CML
306
404
0
24 Jun 2019
Previous
123
Next