Attention-based navigation in mobile robots using a reconfigurable sensor

被引:1
作者
Maris, M [1 ]
机构
[1] Univ Zurich, Artificial Intelligence Lab, CH-8057 Zurich, Switzerland
关键词
robot control; attention; neuromorphic engineering; analog VLSI; biorobotics;
D O I
10.1016/S0921-8890(00)00099-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a method for visual attentional selection in mobile robots is proposed, based on amplification of the selected stimulus. Attention processing is performed on the vision sensor, which is integrated on a silicon chip and consists of a contrast sensitive retina with the ability to change the local inhibitory strength between adjacent pixel elements. As a result, the sensitivity to visual contrast at a particular region of the retina can be adjusted. As the local inhibitory strength can be regulated from outside of the chip. a reconfigurable sensor is realized. This "attention-retina" was tested on an autonomous robot (MorphoII) which was given the task of selecting a line to follow while there were two alternatives. The robot develops directional preference by associating its visual stimulus with an electrical energy providing stimulus, in this case a solar cell. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:53 / 63
页数:11
相关论文
共 50 条
[21]   ATTENTION-BASED PARTIAL FACE RECOGNITION [J].
Hoermann, Stefan ;
Zhang, Zeyuan ;
Knoche, Martin ;
Teepe, Torben ;
Rigoll, Gerhard .
2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2021, :2978-2982
[22]   Neutron: an attention-based neural decompiler [J].
Ruigang Liang ;
Ying Cao ;
Peiwei Hu ;
Kai Chen .
Cybersecurity, 4
[23]   Neutron: an attention-based neural decompiler [J].
Liang, Ruigang ;
Cao, Ying ;
Hu, Peiwei ;
Chen, Kai .
CYBERSECURITY, 2021, 4 (01)
[24]   Towards the implementation of an Attention-based Neural Machine Translation with artificial pronunciation for Nahuatl as a mobile application [J].
Bello Garcia, Sergio Khalil ;
Sanchez Lucero, Eduardo ;
Pedroza Mendez, Blanca Estela ;
Hernandez Hernandez, Jose Crispin ;
Bonilla Huerta, Edmundo ;
Ramirez Cruz, Jose Federico .
2020 8TH EDITION OF THE INTERNATIONAL CONFERENCE IN SOFTWARE ENGINEERING RESEARCH AND INNOVATION (CONISOFT 2020), 2020, :235-244
[25]   Time to pay attention to attention: using attention-based process traces to better understand consumer decision-making [J].
Milica Mormann ;
Tom Griffiths ;
Chris Janiszewski ;
J. Edward Russo ;
Anocha Aribarg ;
Nathaniel J. S. Ashby ;
Rajesh Bagchi ;
Sudeep Bhatia ;
Aleksandra Kovacheva ;
Martin Meissner ;
Kellen J. Mrkva .
Marketing Letters, 2020, 31 :381-392
[26]   Time to pay attention to attention: using attention-based process traces to better understand consumer decision-making [J].
Mormann, Milica ;
Griffiths, Tom ;
Janiszewski, Chris ;
Russo, J. Edward ;
Aribarg, Anocha ;
Ashby, Nathaniel J. S. ;
Bagchi, Rajesh ;
Bhatia, Sudeep ;
Kovacheva, Aleksandra ;
Meissner, Martin ;
Mrkva, Kellen J. .
MARKETING LETTERS, 2020, 31 (04) :381-392
[27]   GRU-Attention based TD3 Network for Mobile Robot Navigation [J].
Jia, Jiayao ;
Xing, Xiaowei ;
Chang, Dong Eui .
2022 22ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2022), 2022, :1642-1647
[28]   Automatic cardiac arrhythmias classification using CNN and attention-based RNN network [J].
Sun, Jie .
HEALTHCARE TECHNOLOGY LETTERS, 2023, 10 (03) :53-61
[29]   TOWARDS IMMEDIATE BACKCHANNEL GENERATION USING ATTENTION-BASED EARLY PREDICTION MODEL [J].
Adiba, Amalia Istiqlali ;
Homma, Takeshi ;
Miyoshi, Toshinori .
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, :7408-7412
[30]   Modeling Emotion Influence Using Attention-based Graph Convolutional Recurrent Network [J].
Chen, Yulan ;
Wu, Zhiyong ;
Jia, Jia .
ICMI'19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, 2019, :302-309