ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.00420
  4. Cited By
Virtual-to-real Deep Reinforcement Learning: Continuous Control of
  Mobile Robots for Mapless Navigation

Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation

1 March 2017
L. Tai
Giuseppe Paolo
Ming Liu
ArXivPDFHTML

Papers citing "Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation"

50 / 93 papers shown
Title
ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics
ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics
Letian Chen
Nina Moorman
Matthew C. Gombolay
OffRL
LM&Ro
103
0
0
27 Nov 2024
Parallel Distributional Deep Reinforcement Learning for Mapless
  Navigation of Terrestrial Mobile Robots
Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots
V. A. Kich
A. H. Kolling
J. C. Jesus
Gabriel V. Heisler
Hiago Jacobs
...
André da Silva Kelbouscas
Akihisa Ohya
Ricardo B. Grando
Paulo Lilles Jorge Drews-Jr
D. T. Gamarra
38
3
0
11 Aug 2024
TopoNav: Topological Navigation for Efficient Exploration in Sparse
  Reward Environments
TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments
Jumman Hossain
A. Faridee
Nirmalya Roy
Jade Freeman
Timothy Gregory
Theron T. Trout
33
3
0
06 Feb 2024
PGN: A perturbation generation network against deep reinforcement
  learning
PGN: A perturbation generation network against deep reinforcement learning
Xiangjuan Li
Feifan Li
Yang Li
Quanbiao Pan
AAML
27
2
0
20 Dec 2023
Improving Reliable Navigation under Uncertainty via Predictions Informed
  by Non-Local Information
Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information
Raihan Islam Arnob
Gregory J. Stein
33
2
0
26 Jul 2023
Conformal Predictive Safety Filter for RL Controllers in Dynamic
  Environments
Conformal Predictive Safety Filter for RL Controllers in Dynamic Environments
Kegan J. Strawn
Nora Ayanian
Lars Lindemann
32
8
0
05 Jun 2023
Data-Efficient Policy Selection for Navigation in Partial Maps via
  Subgoal-Based Abstraction
Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction
Abhishek Paudel
Gregory J. Stein
15
1
0
03 Apr 2023
DDCNN: A Promising Tool for Simulation-To-Reality UAV Fault Diagnosis
DDCNN: A Promising Tool for Simulation-To-Reality UAV Fault Diagnosis
Wei Zhang
Shanze Wang
Junjie Tong
F. Liao
Yunfeng Zhang
Xiaoyu Shen
14
2
0
16 Feb 2023
Double Deep Reinforcement Learning Techniques for Low Dimensional
  Sensing Mapless Navigation of Terrestrial Mobile Robots
Double Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots
Linda Dotto de Moraes
V. A. Kich
A. H. Kolling
J. A. Bottega
Raul Steinmetz
E. Silva
Ricardo B. Grando
Anselmo Rafael Cuckla
D. T. Gamarra
23
0
0
26 Jan 2023
Vision-based navigation and obstacle avoidance via deep reinforcement
  learning
Vision-based navigation and obstacle avoidance via deep reinforcement learning
P. Blum
Peter Crowley
G. Lykotrafitis
21
2
0
09 Nov 2022
Reinforcement Learning for Solving Robotic Reaching Tasks in the
  Neurorobotics Platform
Reinforcement Learning for Solving Robotic Reaching Tasks in the Neurorobotics Platform
Márton Szep
Leander Lauenburg
Kevin Farkas
Xiyan Su
Chuanlong Zang
16
0
0
31 Oct 2022
Generalization in Deep Reinforcement Learning for Robotic Navigation by
  Reward Shaping
Generalization in Deep Reinforcement Learning for Robotic Navigation by Reward Shaping
Victor R. F. Miranda
A. A. Neto
G. Freitas
L. Mozelli
35
18
0
28 Sep 2022
Learning Continuous Control Policies for Information-Theoretic Active
  Perception
Learning Continuous Control Policies for Information-Theoretic Active Perception
Pengzhi Yang
Yuhan Liu
Shumon Koga
Arash Asgharivaskasi
Nikolay Atanasov
36
11
0
26 Sep 2022
Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based
  Deep Reinforcement Learning
Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning
JiaFeng Ma
Guangda Chen
Yingfeng Chen
Yujing Hu
Changjie Fan
Jianming Zhang
14
1
0
14 Sep 2022
Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep
  Reinforcement Learning Through Environmental Generalization
Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization
Ricardo B. Grando
J. C. Jesus
V. A. Kich
A. H. Kolling
R. S. Guerra
Paulo L. J. Drews-Jr
38
13
0
13 Sep 2022
Deterministic and Stochastic Analysis of Deep Reinforcement Learning for
  Low Dimensional Sensing-based Navigation of Mobile Robots
Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots
Ricardo B. Grando
J. C. Jesus
V. A. Kich
A. H. Kolling
R. S. Guerra
Paulo L. J. Drews-Jr
23
2
0
13 Sep 2022
Monocular Camera-based Complex Obstacle Avoidance via Efficient Deep
  Reinforcement Learning
Monocular Camera-based Complex Obstacle Avoidance via Efficient Deep Reinforcement Learning
Jianchuan Ding
Lingping Gao
Wenxi Liu
Haiyin Piao
Jia Pan
Z. Du
Xin Yang
Baocai Yin
19
12
0
01 Sep 2022
Deep Reinforcement Learning based Robot Navigation in Dynamic
  Environments using Occupancy Values of Motion Primitives
Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives
Neset Unver Akmandor
Hongyu Li
Gary Lvov
Eric Dusel
T. Padır
31
8
0
17 Aug 2022
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving
  at Unsignalized Intersections
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections
Shivesh Khaitan
John M. Dolan
SSL
24
17
0
10 Jul 2022
Constrained Reinforcement Learning for Robotics via Scenario-Based
  Programming
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming
Davide Corsi
Raz Yerushalmi
Guy Amir
Alessandro Farinelli
D. Harel
Guy Katz
27
19
0
20 Jun 2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU
  Spatial Multiplexing
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing
Yuke Wang
Boyuan Feng
Zhilin Wang
Tong Geng
Ang Li
Yufei Ding
AI4CE
49
0
0
16 Jun 2022
Verifying Learning-Based Robotic Navigation Systems
Verifying Learning-Based Robotic Navigation Systems
Guy Amir
Davide Corsi
Raz Yerushalmi
Luca Marzari
D. Harel
Alessandro Farinelli
Guy Katz
94
37
0
26 May 2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse
  Reward Visual Scenes
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes
Zheng Fang
Biao Zhao
Guizhong Liu
16
2
0
19 May 2022
Multi-subgoal Robot Navigation in Crowds with History Information and
  Interactions
Multi-subgoal Robot Navigation in Crowds with History Information and Interactions
Xinyi Yu
Jian Hu
Yuehai Fan
W. Zheng
Linlin Ou
19
0
0
04 May 2022
Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe
  Quadruped Navigation
Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation
Yunho Kim
Chanyoung Kim
Jemin Hwangbo
41
10
0
19 Apr 2022
Safe Reinforcement Learning Using Black-Box Reachability Analysis
Safe Reinforcement Learning Using Black-Box Reachability Analysis
Mahmoud Selim
Amr Alanwar
Shreyas Kousik
Grace Gao
Marco Pavone
Karl H. Johansson
29
33
0
15 Apr 2022
VI-IKD: High-Speed Accurate Off-Road Navigation using Learned
  Visual-Inertial Inverse Kinodynamics
VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics
Haresh Karnan
Kavan Singh Sikand
P. Atreya
Sadegh Rabiee
Xuesu Xiao
Garrett A. Warnell
Peter Stone
Joydeep Biswas
36
43
0
30 Mar 2022
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments
  with Distributional Reinforcement Learning
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Cheng Liu
E. Kampen
Guido de Croon
34
16
0
28 Mar 2022
Learning Personalized Human-Aware Robot Navigation Using Virtual Reality
  Demonstrations from a User Study
Learning Personalized Human-Aware Robot Navigation Using Virtual Reality Demonstrations from a User Study
Jorge de Heuvel
Nathan Corral
Lilli Bruckschen
Maren Bennewitz
30
14
0
28 Mar 2022
Learning for Robot Decision Making under Distribution Shift: A Survey
Learning for Robot Decision Making under Distribution Shift: A Survey
Abhishek Paudel
OOD
OffRL
41
5
0
14 Mar 2022
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic
  Environments
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments
Joey Wilson
Jingyu Song
Yuewei Fu
Arthur Zhang
Andrew Capodieci
P. Jayakumar
Kira Barton
Maani Ghaffari
3DPC
30
39
0
14 Mar 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for
  Mapless Navigation in Intralogistics
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics
Honghu Xue
Benedikt Hein
M. Bakr
Georg Schildbach
Bengt Abel
Elmar Rueckert
16
15
0
23 Feb 2022
Image-based Navigation in Real-World Environments via Multiple Mid-level
  Representations: Fusion Models, Benchmark and Efficient Evaluation
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation
Marco Rosano
Antonino Furnari
Luigi Gulino
C. Santoro
G. Farinella
EgoV
49
5
0
02 Feb 2022
Combining Optimal Path Search With Task-Dependent Learning in a Neural
  Network
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network
Tomas Kulvicius
M. Tamosiunaite
Florentin Wörgötter
30
1
0
26 Jan 2022
Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of
  Unmanned Aerial Vehicles
Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles
Ricardo B. Grando
J. C. Jesus
V. A. Kich
A. H. Kolling
P. Drews
33
34
0
27 Dec 2021
Curriculum Learning for Safe Mapless Navigation
Curriculum Learning for Safe Mapless Navigation
Luca Marzari
Davide Corsi
Enrico Marchesini
Alessandro Farinelli
30
14
0
23 Dec 2021
Towards Disturbance-Free Visual Mobile Manipulation
Towards Disturbance-Free Visual Mobile Manipulation
Tianwei Ni
Kiana Ehsani
Luca Weihs
Jordi Salvador
28
9
0
17 Dec 2021
Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert
  Approach
Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach
Wenqi Zhang
Kai Zhao
Peng Li
Xiaochun Zhu
Faping Ye
Wei Jiang
Huiqiao Fu
Tao Wang
31
8
0
16 Nov 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
62
55
0
28 Sep 2021
ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI
ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI
Guanxiong Chen
Haoyu Yang
Ian M. Mitchell
LM&Ro
50
7
0
16 Sep 2021
A review of mobile robot motion planning methods: from classical motion
  planning workflows to reinforcement learning-based architectures
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Changyin Sun
Zicheng He
Chunwei Song
Changyin Sun
38
54
0
31 Aug 2021
A Vision-based Irregular Obstacle Avoidance Framework via Deep
  Reinforcement Learning
A Vision-based Irregular Obstacle Avoidance Framework via Deep Reinforcement Learning
Lingping Gao
J. Ding
Wenxi Liu
Haiyin Piao
Yuxin Wang
Xin Yang
Baocai Yin
3DV
32
14
0
16 Aug 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep
  Q-Learning and Graph Attention Networks
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming Liu
GNN
35
39
0
11 Aug 2021
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form
  Bayesian Inference
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference
Aishwarya Unnikrishnan
Joey Wilson
Lu Gan
Andrew Capodieci
P. Jayakumar
Kira Barton
Maani Ghaffari
3DPC
42
7
0
06 Aug 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
Continuous Control with Deep Reinforcement Learning for Autonomous
  Vessels
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels
Nader Zare
Bruno Brandoli
Mahtab Sarvmaili
Amílcar Soares
Stan Matwin
19
8
0
27 Jun 2021
Language Understanding for Field and Service Robots in a Priori Unknown
  Environments
Language Understanding for Field and Service Robots in a Priori Unknown Environments
Matthew R. Walter
Siddharth Patki
Andrea F. Daniele
E. Fahnestock
Felix Duvallet
Sachithra Hemachandra
Jean Oh
A. Stentz
Nicholas Roy
T. Howard
LM&Ro
25
8
0
21 May 2021
VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone
  Navigation and Height Mapping
VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping
Yilin Liu
Ke Xie
Hui Huang
25
19
0
07 Apr 2021
Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial
  Underwater Vehicle with Medium Transition
Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition
Ricardo B. Grando
J. C. Jesus
V. A. Kich
A. H. Kolling
Nicolas P. Bortoluzzi
P. Pinheiro
A. A. Neto
Paulo L. J. Drews-Jr
24
39
0
23 Mar 2021
Goal-Driven Autonomous Exploration Through Deep Reinforcement Learning
Goal-Driven Autonomous Exploration Through Deep Reinforcement Learning
Reinis Cimurs
I. Suh
Jin Han Lee
39
85
0
12 Mar 2021
12
Next