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Towards Learning Abstract Representations for Locomotion Planning in
  High-dimensional State Spaces

Towards Learning Abstract Representations for Locomotion Planning in High-dimensional State Spaces

6 March 2019
Tobias Klamt
Sven Behnke
ArXivPDFHTML

Papers citing "Towards Learning Abstract Representations for Locomotion Planning in High-dimensional State Spaces"

11 / 11 papers shown
Title
NimbRo Rescue: Solving Disaster-Response Tasks through Mobile
  Manipulation Robot Momaro
NimbRo Rescue: Solving Disaster-Response Tasks through Mobile Manipulation Robot Momaro
Max Schwarz
Tobias Rodehutskors
David Droeschel
Marius Beul
M. Schreiber
...
Jan Razlaw
Sebastian Schüller
David Schwarz
Angeliki Topalidou-Kyniazopoulou
Sven Behnke
21
130
0
02 Oct 2018
Anytime Hybrid Driving-Stepping Locomotion Planning
Anytime Hybrid Driving-Stepping Locomotion Planning
Tobias Klamt
Sven Behnke
15
56
0
19 Sep 2018
Planning Hybrid Driving-Stepping Locomotion on Multiple Levels of
  Abstraction
Planning Hybrid Driving-Stepping Locomotion on Multiple Levels of Abstraction
Tobias Klamt
Sven Behnke
16
24
0
19 Sep 2018
Supervised Autonomous Locomotion and Manipulation for Disaster Response
  with a Centaur-like Robot
Supervised Autonomous Locomotion and Manipulation for Disaster Response with a Centaur-like Robot
Tobias Klamt
Diego Rodriguez
Max Schwarz
Christian Lenz
D. Pavlichenko
David Droeschel
Sven Behnke
21
59
0
18 Sep 2018
Universal Planning Networks
Universal Planning Networks
A. Srinivas
Allan Jabri
Pieter Abbeel
Sergey Levine
Chelsea Finn
SSL
56
145
0
02 Apr 2018
A Single-Planner Approach to Multi-Modal Humanoid Mobility
A Single-Planner Approach to Multi-Modal Humanoid Mobility
Andrew Dornbush
Karthik Vijayakumar
Sameer Bardapurkar
Fahad Islam
Maxim Likhachev
30
15
0
30 Jan 2018
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement
  Learning and Sampling-based Planning
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning
Aleksandra Faust
Oscar Ramirez
Marek Fiser
Kenneth Oslund
Anthony G. Francis
James Davidson
Lydia Tapia
49
289
0
11 Oct 2017
QMDP-Net: Deep Learning for Planning under Partial Observability
QMDP-Net: Deep Learning for Planning under Partial Observability
Peter Karkus
David Hsu
Wee Sun Lee
PINN
84
156
0
20 Mar 2017
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
40
4,153
0
25 Apr 2016
Value Iteration Networks
Value Iteration Networks
Aviv Tamar
Yi Wu
G. Thomas
Sergey Levine
Pieter Abbeel
54
650
0
09 Feb 2016
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
194
3,418
0
02 Apr 2015
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