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

FindBook

Google Book

Amazon

博客來

A stable and transparent framework for adaptive shared control of robots

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A stable and transparent framework for adaptive shared control of robots/ by Ribin Balachandran.
作者:	Balachandran, Ribin.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xxii, 181 p. :ill. (some col.), digital ;24 cm.
內容註:	1. Introduction -- 2. Fundamentals -- 3. Transparency Enhancement in Teleoperation -- 4. Multi-Agent Adaptive Shared Control -- 5. Stable and Transparent Shared Control Framework.
Contained By:	Springer Nature eBook
標題:	Robots - Control systems. -
電子資源:	https://doi.org/10.1007/978-3-031-47934-2
ISBN:	9783031479342

A stable and transparent framework for adaptive shared control of robots
Balachandran, Ribin.

A stable and transparent framework for adaptive shared control of robots[electronic resource] /by Ribin Balachandran. - Cham :Springer Nature Switzerland :2024. - xxii, 181 p. :ill. (some col.), digital ;24 cm. - Springer tracts in advanced robotics,v. 1581610-742X ;. - Springer tracts in advanced robotics ;v. 158..

1. Introduction -- 2. Fundamentals -- 3. Transparency Enhancement in Teleoperation -- 4. Multi-Agent Adaptive Shared Control -- 5. Stable and Transparent Shared Control Framework.

Robotic research and developments in computing technologies including artificial intelligence have led to significant improvements in autonomous capabilities of robots. Yet, human supervision is advisable and, in many cases, necessary when robots interact with real-world, outside-lab environments. This is due to the fact that complete autonomy in robots has not yet been achieved. When robots encounter challenges beyond their capabilities, a viable solution is to include human operators in the loop, who can support robots through teleoperation, taking complete control or shared control. This monograph focuses on a special form of shared control, namely mixed-initiative, where the final command to the robot is a weighted sum of the commands from the operator and the autonomous controller. The weights (fixed or adaptive), called authority allocation (AA) factors, decide who has more control authority over the robot. Several research groups use different methods to adapt the AA factors online and the benefits of adaptive mixed-initiative shared control have been well established in terms of task completion success and operator usability. However, stability of the overall shared control framework, with communication time-delays between the operator and the robot, is a field that has not been examined extensively. This monograph presents methods to improve performance and stability in shared control so that the possibilities of its applications can be widened. Firstly, methods to improve the haptic feedback performance of teleoperation are developed. Secondly, methods to stabilize adaptive shared control systems, while still ensuring high teleoperation performance, are proposed. The methods are validated on multiple robotic systems and they were applied in several projects, both in space and terrestrial domains. With the aforementioned contributions, this monograph provides an overarching framework to improve synergy between humans and robots. The flexibility of the framework allows integration of existent teleoperation and shared control approaches, which further promotes synergy within the robotics community.

ISBN: 9783031479342

Standard No.: 10.1007/978-3-031-47934-2doiSubjects--Topical Terms:

667305
Robots
--Control systems.

LC Class. No.: TJ211.35

Dewey Class. No.: 629.892

A stable and transparent framework for adaptive shared control of robots
LDR:03419nmm a2200337 a 4500 001 2368118
003 DE-He213
005 20231228181543.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031479342 $q (electronic bk.)
020 $a 9783031479335 $q (paper)
024 7 $a 10.1007/978-3-031-47934-2 $2 doi
035 $a 978-3-031-47934-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ211.35
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.892 $2 23
090 $a TJ211.35 $b .B171 2024
100 1 $a Balachandran, Ribin. $3 3711791
245 1 2 $a A stable and transparent framework for adaptive shared control of robots $h [electronic resource] / $c by Ribin Balachandran.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xxii, 181 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer tracts in advanced robotics, $x 1610-742X ; $v v. 158
505 0 $a 1. Introduction -- 2. Fundamentals -- 3. Transparency Enhancement in Teleoperation -- 4. Multi-Agent Adaptive Shared Control -- 5. Stable and Transparent Shared Control Framework.
520 $a Robotic research and developments in computing technologies including artificial intelligence have led to significant improvements in autonomous capabilities of robots. Yet, human supervision is advisable and, in many cases, necessary when robots interact with real-world, outside-lab environments. This is due to the fact that complete autonomy in robots has not yet been achieved. When robots encounter challenges beyond their capabilities, a viable solution is to include human operators in the loop, who can support robots through teleoperation, taking complete control or shared control. This monograph focuses on a special form of shared control, namely mixed-initiative, where the final command to the robot is a weighted sum of the commands from the operator and the autonomous controller. The weights (fixed or adaptive), called authority allocation (AA) factors, decide who has more control authority over the robot. Several research groups use different methods to adapt the AA factors online and the benefits of adaptive mixed-initiative shared control have been well established in terms of task completion success and operator usability. However, stability of the overall shared control framework, with communication time-delays between the operator and the robot, is a field that has not been examined extensively. This monograph presents methods to improve performance and stability in shared control so that the possibilities of its applications can be widened. Firstly, methods to improve the haptic feedback performance of teleoperation are developed. Secondly, methods to stabilize adaptive shared control systems, while still ensuring high teleoperation performance, are proposed. The methods are validated on multiple robotic systems and they were applied in several projects, both in space and terrestrial domains. With the aforementioned contributions, this monograph provides an overarching framework to improve synergy between humans and robots. The flexibility of the framework allows integration of existent teleoperation and shared control approaches, which further promotes synergy within the robotics community.
650 0 $a Robots $x Control systems. $3 667305
650 0 $a Adaptive control systems. $3 533905
650 1 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Automation. $3 633305
650 2 4 $a Control and Systems Theory. $3 3381515
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer tracts in advanced robotics ; $v v. 158. $3 3711792
856 4 0 $u https://doi.org/10.1007/978-3-031-47934-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)