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BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning
  Framework

BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework

28 May 2022
Dian Wang
Colin Kohler
Xu Zhu
Ming Jia
Robert W. Platt
ArXivPDFHTML

Papers citing "BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework"

10 / 10 papers shown
Title
Equivariant Reinforcement Learning under Partial Observability
Equivariant Reinforcement Learning under Partial Observability
Hai Nguyen
Andrea Baisero
David M. Klee
Dian Wang
Robert Platt
Christopher Amato
26
14
0
26 Aug 2024
What Foundation Models can Bring for Robot Learning in Manipulation : A
  Survey
What Foundation Models can Bring for Robot Learning in Manipulation : A Survey
Dingzhe Li
Yixiang Jin
A. Yong
Hongze Yu
Jun Shi
Xiaoshuai Hao
Peng Hao
Huaping Liu
Fuchun Sun
Bin Fang
AI4CE
LM&Ro
62
12
0
28 Apr 2024
RobotGPT: Robot Manipulation Learning from ChatGPT
RobotGPT: Robot Manipulation Learning from ChatGPT
Yixiang Jin
Dingzhe Li
Yong A
Jun Shi
Peng Hao
Fuchun Sun
Jianwei Zhang
Bin Fang
22
25
0
03 Dec 2023
Symmetric Models for Visual Force Policy Learning
Symmetric Models for Visual Force Policy Learning
Colin Kohler
A. S. Srikanth
Eshan Arora
Robert W. Platt
19
7
0
28 Aug 2023
Learning from Pixels with Expert Observations
Learning from Pixels with Expert Observations
M. Hoang
Long Dinh
Hai V. Nguyen
OffRL
17
2
0
24 Jun 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance
A General Theory of Correct, Incorrect, and Extrinsic Equivariance
Dian Wang
Xu Zhu
Jung Yeon Park
Mingxi Jia
Guanang Su
Robert W. Platt
Robin G. Walters
16
13
0
08 Mar 2023
The Surprising Effectiveness of Equivariant Models in Domains with
  Latent Symmetry
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
Dian Wang
Jung Yeon Park
Neel Sortur
Lawson L. S. Wong
Robin G. Walters
Robert W. Platt
AAML
22
33
0
16 Nov 2022
Leveraging Fully Observable Policies for Learning under Partial
  Observability
Leveraging Fully Observable Policies for Learning under Partial Observability
Hai V. Nguyen
Andrea Baisero
Dian Wang
Chris Amato
Robert W. Platt
OffRL
22
19
0
03 Nov 2022
SEIL: Simulation-augmented Equivariant Imitation Learning
SEIL: Simulation-augmented Equivariant Imitation Learning
Ming Jia
Dian Wang
Guanang Su
David M. Klee
Xu Zhu
Robin G. Walters
Robert W. Platt
19
16
0
31 Oct 2022
Sample Efficient Grasp Learning Using Equivariant Models
Sample Efficient Grasp Learning Using Equivariant Models
Xu Zhu
Dian Wang
Ondrej Biza
Guanang Su
Robin G. Walters
Robert W. Platt
DRL
81
66
0
18 Feb 2022
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