東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Multi-Domain Human-Robot Interfaces /

Abdi, Sydrak Solomon,

FindBook

Google Book

Amazon

博客來

Multi-Domain Human-Robot Interfaces /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-Domain Human-Robot Interfaces // Sydrak Solomon Abdi.
作者:	Abdi, Sydrak Solomon,
面頁冊數:	1 electronic resource (96 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-07, Section: B.
Contained By:	Dissertations Abstracts International86-07B.
標題:	Aerospace engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31557155
ISBN:	9798302826923

Multi-Domain Human-Robot Interfaces /
Abdi, Sydrak Solomon,

Multi-Domain Human-Robot Interfaces /Sydrak Solomon Abdi. - 1 electronic resource (96 pages)

Source: Dissertations Abstracts International, Volume: 86-07, Section: B.

As autonomous robots become more capable and integrated into daily society, it becomes crucial to consider how a user will interact with them, how a robot will perceive a user, and how a robot will comprehend a user's intentions. This challenge increases in difficulty when the user is required to interact with and control multiple robots simultaneously. Human intervention is often required during autonomous operations, particularly in scenarios that involve complex decision-making or where safety concerns arise. Thus, the methods by which users interact with multi-agent systems is an important area of research. These interactions should be intuitive, efficient, and effective all while preserving the operator's safety. We present a novel human swarm interface (HSI) that utilizes gesture control and haptic feedback to interact with and control a swarm of quadrotors in a confined space. This human swarm interface prioritizes operator safety while reducing cognitive load during control of an aerial swarm. Human-robot interfaces (HRIs) are mechanisms designed to facilitate communication between humans and robots, enhancing the user's ability to command and collaborate with robots in an intuitive and user-friendly manner. One challenge is providing mobile robotic systems with the capability to localize and interact with a user in their environment. Localization involves estimating the pose (position and orientation) of the user relative to the robot, which is essential for tasks that require close interactions or navigation in shared spaces. We present a novel method for obtaining user pose as well as other anthropometric measurements useful for human-robot interactions. Another challenge is extending these HRI and HSI paradigms to the outdoors. Unlike controlled laboratory conditions, outdoor environments involve a variety of variables such as fluctuating weather conditions as well as a mix of static and dynamic obstacles. In this dissertation, we design a portable human swarm interface that allows an operator to interact with and control a multi-agent system outdoors. The portable HSI takes the form of smart binoculars. The user uses the smart binoculars to select an outdoor location and assign a task for the multi-agent system to complete given the targeted area. This system allows for new methods of multi-agent operation, that will leverage a user's on-the-ground knowledge while utilizing autonomous vehicles for line-of-sight operations, without compromising their situational awareness.

English

ISBN: 9798302826923Subjects--Topical Terms:

1002622
Aerospace engineering.
Subjects--Index Terms:

Human-machine teaming

Multi-Domain Human-Robot Interfaces /
LDR:03993nmm a22004453i 4500 001 2431779
005 20250624130449.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798302826923
035 $a (MiAaPQD)AAI31557155
035 $a AAI31557155
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Abdi, Sydrak Solomon, $e author. $0 (orcid)0009-0003-3060-7874 $3 3820746
245 1 0 $a Multi-Domain Human-Robot Interfaces / $c Sydrak Solomon Abdi.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (96 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 86-07, Section: B.
500 $a Advisors: Paley, Derek A. Committee members: Otte, Michael; Conroy, Joseph; Manocha, Dinesh; Xu, Mumu.
502 $b Ph.D. $c University of Maryland, College Park $d 2024.
520 $a As autonomous robots become more capable and integrated into daily society, it becomes crucial to consider how a user will interact with them, how a robot will perceive a user, and how a robot will comprehend a user's intentions. This challenge increases in difficulty when the user is required to interact with and control multiple robots simultaneously. Human intervention is often required during autonomous operations, particularly in scenarios that involve complex decision-making or where safety concerns arise. Thus, the methods by which users interact with multi-agent systems is an important area of research. These interactions should be intuitive, efficient, and effective all while preserving the operator's safety. We present a novel human swarm interface (HSI) that utilizes gesture control and haptic feedback to interact with and control a swarm of quadrotors in a confined space. This human swarm interface prioritizes operator safety while reducing cognitive load during control of an aerial swarm. Human-robot interfaces (HRIs) are mechanisms designed to facilitate communication between humans and robots, enhancing the user's ability to command and collaborate with robots in an intuitive and user-friendly manner. One challenge is providing mobile robotic systems with the capability to localize and interact with a user in their environment. Localization involves estimating the pose (position and orientation) of the user relative to the robot, which is essential for tasks that require close interactions or navigation in shared spaces. We present a novel method for obtaining user pose as well as other anthropometric measurements useful for human-robot interactions. Another challenge is extending these HRI and HSI paradigms to the outdoors. Unlike controlled laboratory conditions, outdoor environments involve a variety of variables such as fluctuating weather conditions as well as a mix of static and dynamic obstacles. In this dissertation, we design a portable human swarm interface that allows an operator to interact with and control a multi-agent system outdoors. The portable HSI takes the form of smart binoculars. The user uses the smart binoculars to select an outdoor location and assign a task for the multi-agent system to complete given the targeted area. This system allows for new methods of multi-agent operation, that will leverage a user's on-the-ground knowledge while utilizing autonomous vehicles for line-of-sight operations, without compromising their situational awareness.
546 $a English
590 $a School code: 0117
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Robotics. $3 519753
650 4 $a Applied physics. $3 3343996
653 $a Human-machine teaming
653 $a Human-robot interactions
653 $a Multi-agent control
653 $a Sensor fusion
653 $a State estimation
690 $a 0538
690 $a 0771
690 $a 0800
690 $a 0215
710 2 $a University of Maryland, College Park. $b Aerospace Engineering. $e degree granting institution. $3 3820747
720 1 $a Paley, Derek A. $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-07B.
790 $a 0117
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31557155