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Learning to Seek: Autonomous Source Seeking with Deep Reinforcement
  Learning Onboard a Nano Drone Microcontroller

Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller

25 September 2019
Bardienus P. Duisterhof
Srivatsan Krishnan
Jonathan J. Cruz
Colby R. Banbury
William Fu
Aleksandra Faust
Guido de Croon
Vijay Janapa Reddi
ArXivPDFHTML

Papers citing "Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller"

12 / 12 papers shown
Title
Multi-Source Encapsulation With Guaranteed Convergence Using Minimalist
  Robots
Multi-Source Encapsulation With Guaranteed Convergence Using Minimalist Robots
Himani Sinhmar
H. Kress-Gazit
18
0
0
29 Apr 2024
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
Lixiang Han
Zhen Xiao
Zhenjiang Li
30
5
0
17 Jan 2024
Efficient 2D Graph SLAM for Sparse Sensing
Efficient 2D Graph SLAM for Sparse Sensing
Hanzhi Zhou
Zichao Hu
Sihang Liu
S. Khan
21
12
0
04 Dec 2023
RLtools: A Fast, Portable Deep Reinforcement Learning Library for
  Continuous Control
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
Jonas Eschmann
Dario Albani
Giuseppe Loianno
OffRL
17
5
0
06 Jun 2023
Distributed Information-based Source Seeking
Distributed Information-based Source Seeking
Tianpeng Zhang
Victor Qin
Yujie Tang
Na Li
19
6
0
20 Sep 2022
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous
  Miniaturized UAVs
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs
H. Müller
Vlad Niculescu
T. Polonelli
Michele Magno
Luca Benini
27
29
0
26 Aug 2022
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference
Alessio Burrello
Alberto Dequino
Daniele Jahier Pagliari
Francesco Conti
Marcello Zanghieri
Enrico Macii
Luca Benini
M. Poncino
AI4TS
17
7
0
24 Mar 2022
Analyzing and Improving Fault Tolerance of Learning-Based Navigation
  Systems
Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems
Zishen Wan
Aqeel Anwar
Yu-Shun Hsiao
Tianyu Jia
Vijay Janapa Reddi
A. Raychowdhury
AAML
34
30
0
09 Nov 2021
Learning-based Bias Correction for Time Difference of Arrival
  Ultra-wideband Localization of Resource-constrained Mobile Robots
Learning-based Bias Correction for Time Difference of Arrival Ultra-wideband Localization of Resource-constrained Mobile Robots
Wenda Zhao
Jacopo Panerati
Angela P. Schoellig
24
43
0
02 Mar 2021
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
R. David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
...
Meghna Natraj
Shlomi Regev
Rocky Rhodes
Tiezhen Wang
Pete Warden
105
464
0
17 Oct 2020
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial
  Robot Visual Navigation
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation
Srivatsan Krishnan
Behzad Boroujerdian
William Fu
Aleksandra Faust
Vijay Janapa Reddi
14
36
0
02 Jun 2019
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
Daniele Palossi
Antonio Loquercio
Francesco Conti
Eric Flamand
Davide Scaramuzza
Luca Benini
164
158
0
04 May 2018
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