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Learning Vision-based Reactive Policies for Obstacle Avoidance

Learning Vision-based Reactive Policies for Obstacle Avoidance

30 October 2020
Elie Aljalbout
Ji Chen
Konstantin Ritt
Maximilian Ulmer
Sami Haddadin
ArXivPDFHTML

Papers citing "Learning Vision-based Reactive Policies for Obstacle Avoidance"

15 / 15 papers shown
Title
How to Make Deep RL Work in Practice
How to Make Deep RL Work in Practice
Nirnai Rao
Elie Aljalbout
Axel Sauer
Sami Haddadin
OffRL
112
11
0
25 Oct 2020
The Ingredients of Real-World Robotic Reinforcement Learning
The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu
Justin Yu
Abhishek Gupta
Dhruv Shah
Kristian Hartikainen
Avi Singh
Vikash Kumar
Sergey Levine
OffRL
103
176
0
27 Apr 2020
Robust Vision-based Obstacle Avoidance for Micro Aerial Vehicles in
  Dynamic Environments
Robust Vision-based Obstacle Avoidance for Micro Aerial Vehicles in Dynamic Environments
Jiahao Lin
Hai Zhu
Javier Alonso-Mora
50
79
0
12 Feb 2020
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
Cristian Bodnar
A. Li
Karol Hausman
P. Pastor
Mrinal Kalakrishnan
OffRL
44
52
0
01 Oct 2019
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose
  Estimation
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
Kiru Park
T. Patten
Markus Vincze
3DPC
80
459
0
20 Aug 2019
Variable Impedance Control in End-Effector Space: An Action Space for
  Reinforcement Learning in Contact-Rich Tasks
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
Roberto Martín-Martín
Michelle A. Lee
Rachel Gardner
Silvio Savarese
Jeannette Bohg
Animesh Garg
64
195
0
20 Jun 2019
Residual Reinforcement Learning for Robot Control
Residual Reinforcement Learning for Robot Control
T. Johannink
Shikhar Bahl
Ashvin Nair
Jianlan Luo
Avinash Kumar
M. Loskyll
J. A. Ojea
Eugen Solowjow
Sergey Levine
OffRL
72
417
0
07 Dec 2018
RMPflow: A Computational Graph for Automatic Motion Policy Generation
RMPflow: A Computational Graph for Automatic Motion Policy Generation
Ching-An Cheng
Mustafa Mukadam
J. Issac
Stan Birchfield
Dieter Fox
Byron Boots
Nathan D. Ratliff
35
82
0
16 Nov 2018
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal
  Representations for Contact-Rich Tasks
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee
Yuke Zhu
K. Srinivasan
Parth Shah
Silvio Savarese
Li Fei-Fei
Animesh Garg
Jeannette Bohg
SSL
71
369
0
24 Oct 2018
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
116
1,951
0
19 Sep 2017
Real-time Perception meets Reactive Motion Generation
Real-time Perception meets Reactive Motion Generation
Daniel Kappler
Franziska Meier
J. Issac
Jim Mainprice
C. Cifuentes
Manuel Wüthrich
V. Berenz
S. Schaal
Nathan D. Ratliff
Jeannette Bohg
55
98
0
10 Mar 2017
Learning Feedback Terms for Reactive Planning and Control
Learning Feedback Terms for Reactive Planning and Control
Akshara Rai
Giovanni Sutanto
S. Schaal
Franziska Meier
27
39
0
11 Oct 2016
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
108
2,360
0
19 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
214
3,788
0
18 Nov 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
450
16,933
0
20 Dec 2013
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