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1901.03737
Cited By
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning
11 January 2019
Nathan Lambert
Daniel S. Drew
Joseph Yaconelli
Roberto Calandra
Sergey Levine
K. Pister
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Papers citing
"Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning"
32 / 32 papers shown
Title
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation
Adam Labiosa
Josiah P. Hanna
59
0
0
07 Mar 2025
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
Angel Romero
Ashwin Shenai
Ismail Geles
Elie Aljalbout
Davide Scaramuzza
89
1
0
24 Jan 2025
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
Taisuke Kobayashi
71
2
0
29 Sep 2024
A Survey of Offline and Online Learning-Based Algorithms for Multirotor UAVs
Serhat Sönmez
M. J. Rutherford
K. Valavanis
38
5
0
06 Feb 2024
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
Botian Xu
Feng Gao
Chao Yu
Chao Yu
Yi Wu
Yu Wang
41
28
0
22 Sep 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions
Desong Du
Shao-Fu Han
Naiming Qi
Haitham Bou-Ammar
Jun Wang
Wei Pan
44
15
0
16 May 2023
Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers
Yan Wang
Gautham Vasan
A. R. Mahmood
54
15
0
05 Oct 2022
The Role of Time Delay in Sim2real Transfer of Reinforcement Learning for Cyber-Physical Systems
Mohamad Chehadeh
I. Boiko
Yahya Zweiri
44
1
0
30 Sep 2022
NanoFlowNet: Real-time Dense Optical Flow on a Nano Quadcopter
Rik J. Bouwmeester
Federico Paredes-Valles
Guido de Croon
16
17
0
14 Sep 2022
Learning Fast and Precise Pixel-to-Torque Control
Steffen Bleher
Steve Heim
Sebastian Trimpe
27
2
0
03 Aug 2022
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots
Tom Z. Jiahao
K. Y. Chee
M. A. Hsieh
32
21
0
19 Jul 2022
Retro-RL: Reinforcing Nominal Controller With Deep Reinforcement Learning for Tilting-Rotor Drones
Aswin Nahrendra
Christian Tirtawardhana
Byeong-Uk Yu
E. Lee
Hyunsam Myung
OffRL
24
8
0
07 Jul 2022
Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning
Q. Sun
Jinbao Fang
Weixing Zheng
Yang Tang
19
27
0
26 Mar 2022
Investigating Compounding Prediction Errors in Learned Dynamics Models
Nathan Lambert
K. Pister
Roberto Calandra
AI4CE
22
27
0
17 Mar 2022
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight
Elia Kaufmann
L. Bauersfeld
Davide Scaramuzza
46
70
0
22 Feb 2022
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors
Sven Gronauer
Matthias Kissel
L. Sacchetto
Mathias Korte
Klaus Diepold
29
6
0
04 Jan 2022
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control
Xingshuai Huang
Di Wu
M. Jenkin
Benoit Boulet
13
15
0
15 Nov 2021
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
Eivind Bøhn
E. M. Coates
D. Reinhardt
T. Johansen
30
27
0
07 Nov 2021
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization
Marco Ferri
Dario Mantegazza
Elia Cereda
Nicky Zimmerman
L. Gambardella
Daniele Palossi
Jérôme Guzzi
Alessandro Giusti
32
0
0
27 Oct 2021
Learning Dynamics Models for Model Predictive Agents
M. Lutter
Leonard Hasenclever
Arunkumar Byravan
Gabriel Dulac-Arnold
Piotr Trochim
N. Heess
J. Merel
Yuval Tassa
AI4CE
57
26
0
29 Sep 2021
Data-driven controllers and the need for perception systems in underwater manipulation
James Oubre
Ignacio Carlucho
Corina Barbalata
18
2
0
21 Sep 2021
KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots
K. Y. Chee
Tom Z. Jiahao
M. A. Hsieh
29
63
0
10 Sep 2021
Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning
Hyungyu Lee
Myeongwoo Jeong
Chanyoung Kim
Hyungtae Lim
Changgue Park
Sungwon Hwang
Hyun Myung
22
4
0
11 Aug 2021
Deformable Elasto-Plastic Object Shaping using an Elastic Hand and Model-Based Reinforcement Learning
Carolyn Matl
R. Bajcsy
25
21
0
14 Jul 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
Luis Pineda
Brandon Amos
Amy Zhang
Nathan Lambert
Roberto Calandra
OffRL
33
46
0
20 Apr 2021
Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs
Daniele Palossi
Nicky Zimmerman
Luca Bompani
Francesco Conti
H. Müller
L. Gambardella
Luca Benini
Alessandro Giusti
Jérôme Guzzi
21
51
0
19 Mar 2021
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning
Nathan Lambert
Albert Wilcox
Howard Zhang
K. Pister
Roberto Calandra
27
33
0
16 Dec 2020
Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning
Nathan Lambert
Craig B. Schindler
Daniel S. Drew
K. Pister
22
6
0
02 Sep 2020
Machine learning and control engineering: The model-free case
M. Fliess
Cédric Join
23
13
0
10 Jun 2020
Structured Mechanical Models for Robot Learning and Control
Jayesh K. Gupta
Kunal Menda
Zachary Manchester
Mykel J. Kochenderfer
DRL
26
34
0
21 Apr 2020
Learning to Fly via Deep Model-Based Reinforcement Learning
Philip Becker-Ehmck
Maximilian Karl
Jan Peters
Patrick van der Smagt
SSL
44
37
0
19 Mar 2020
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller
Bardienus P. Duisterhof
Srivatsan Krishnan
Jonathan J. Cruz
Colby R. Banbury
William Fu
Aleksandra Faust
Guido de Croon
Vijay Janapa Reddi
23
25
0
25 Sep 2019
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