久久久久亚洲AV成人无码电影,天天色综合网址,夜夜爽天天干,99九九久久精品视频

當(dāng)前位置: > 學(xué)術(shù)報告 > 文科 > 正文

文科

A Layered Approach for Bio-Inspired Distributed Active Perception

發(fā)布時間:2020-12-08 瀏覽:

報告人: Prof. Fumin Zhang

講座日期:2020-12-10

講座時間:10:00

報告地點:騰訊會議(會議ID537 442 673

主辦單位:數(shù)學(xué)與系統(tǒng)科學(xué)研究院

講座人簡介:

Dr. Fumin Zhang is Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He received a PhD degree in 2004 from the University of Maryland (College Park) in Electrical Engineering, and held a postdoctoral position in Princeton University from 2004 to 2007. His research interests include mobile sensor networks, maritime robotics, control systems, and theoretical foundations for cyber-physical systems. He received the NSF CAREER Award in September 2009 and the ONR Young Investigator Program Award in April 2010. He is currently serving as the co-chair for the IEEE RAS Technical Committee on Marine Robotics, associate editors for IEEE Journal of Oceanic Engineering, Robotics and Automation Letters, IEEE Transactions on Automatic Control, and IEEE Transactions on Control of Networked Systems.

講座簡介:

There is a perceivable trend for robots to serve as networked mobile sensing platforms that are able to collect data in challenging environments with difficulty for localization and communication.  The need for undisturbed operation of search and monitoring posts higher goals for sustainable autonomy. We propose a layered approach to achieve signal propagation over large swarms through active perception. Biological evidence from fish swarms has shown that active perception is used by animals to allow fast response to stimulations when only a few members are stimulated. Active perception has advantage over averaging consensus, such as reduced communication and faster signal propagation. After transferring this knowledge to the design of robotic swarms, we found that multiple perception layers can be overlaid on top of the feedback control layer to achieve complex swarm behaviors. The findings also lead to effective distributed optimization algorithms that are quite different from the known consensus-based algorithms. One key feature is the capability to handle vanishing and exploding gradients that often arise in machine learning. Our algorithms are rigorously analyzed and verified by experimental effort on mobile and flying robot platforms. The promising results demonstrates that bio-inspired autonomy might be preferred in aquatic environment that features severe limitation in localization and communication.

欧美精品合| 91在线视频精品| 欧美日韩宗合区三| 337P大胆日本欧美人体艺术噜噜噜 | 四虎国产精品永久免费网址 | 一区二区三区国产自慰| 亚洲电影国产无码一区| 中文字幕第11页| 亚洲一区在线观看高清| 亚洲阿V天堂网2019无码| 久久精品国产。| 97人澡人人添人人爽欧美| 五月丁香久久激情| 夜夜嗨国产精品视频| 免费精品久久天干天干| 人妻侵犯欧美| 色久悠悠源站| 人妻精品有码| 五月婷婷色中文字幕| 天堂中文最新版在线中文| 色鬼综合88| 麻豆黄片| 欧美日韩亚洲色一区| 四月婷婷色综合| 7777久久亚洲中文字幕| 四虎影音久久| 无码日韩精品| 亚洲情色电影| 人妻性爱无码中文字幕| 人妻酒店久久| 免费黄色无码视频| 人妻内射在线视频| 精品一区二区三区AV天堂| 色综合日本五月丁香| 久久99国产精品久久99软件| 欧美性XXXX视频| 国产精品成人自拍| 免费五级片| 日韩无码免费看| 国产精品高清不卡| 亚洲国产成人片|