Toward Trustworthy Adjustable Autonomy in KAoS

2005 ◽  
pp. 18-42 ◽  
Author(s):  
Jeffrey M. Bradshaw ◽  
Hyuckchul Jung ◽  
Shri Kulkarni ◽  
Matthew Johnson ◽  
Paul Feltovich ◽  
...  
Keyword(s):  
Adjustable Autonomy

Adjustable Autonomy for Teleoperated Internet Robots

2010 ◽  
Vol 36 (7) ◽  
pp. 982-992 ◽  
Author(s):  
Jian-Bo SU ◽  
Wei ZHOU
Keyword(s):  
Adjustable Autonomy ◽  
Internet Robots

Goal Tracking and Goal Attainment: A Natural Language Means of Achieving Adjustable Autonomy

1999 ◽  
Author(s):  
Dennis Perzanowski ◽  
Alan C. Schultz ◽  
Elaine Marsh ◽  
William Adams
Keyword(s):  
Natural Language ◽  
Goal Attainment ◽  
Adjustable Autonomy ◽  
Goal Tracking

scholarly journals Team-Centered Virtual Interactive Presence for Adjustable Autonomy

Space 2005 ◽  
2005 ◽  
Author(s):  
Josh Reitsema ◽  
Wendell Chun ◽  
Terry Fong ◽  
Randy Stiles
Keyword(s):  
Adjustable Autonomy ◽  
Virtual Interactive

scholarly journals Semi-heterarchical architecture to AGV adjustable autonomy within FMSs

2019 ◽  
Vol 52 (10) ◽  
pp. 7-12 ◽  
Author(s):  
Sergio Ramiro Gonzalez ◽  
Gabriel Mauricio Zambrano ◽  
Ivan Fernando Mondragon
Keyword(s):  
Adjustable Autonomy

A deontic implementation of adjustable autonomy for command and control of robotic assets

2006 ◽  
Author(s):  
Sean A. Lisse ◽  
Jonathan T. Beard ◽  
Marcus H. Huber ◽  
Geoffrey P. Morgan ◽  
Elyon A. M. DeKoven
Keyword(s):  
Command And Control ◽  
Adjustable Autonomy ◽  
And Control

scholarly journals Human–Robot Interface for Embedding Sliding Adjustable Autonomy Methods

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5960 ◽  
Author(s):  
Piatan Sfair Palar ◽  
Vinícius de Vargas Terres ◽  
André Schneider de Oliveira
Keyword(s):  
Angular Velocity ◽  
Petrochemical Industry ◽  
Fuzzy Controller ◽  
Operating Time ◽  
Weld Bead ◽  
Storage Tanks ◽  
Climbing Robot ◽  
Simulated Environment ◽  
Adjustable Autonomy ◽  
Angular Velocities

This work discusses a novel human–robot interface for a climbing robot for inspecting weld beads in storage tanks in the petrochemical industry. The approach aims to adapt robot autonomy in terms of the operator’s experience, where a remote industrial joystick works in conjunction with an electromyographic armband as inputs. This armband is worn on the forearm and can detect gestures from the operator and rotation angles from the arm. Information from the industrial joystick and the armband are used to control the robot via a Fuzzy controller. The controller works with sliding autonomy (using as inputs data from the angular velocity of the industrial controller, electromyography reading, weld bead position in the storage tank, and rotation angles executed by the operator’s arm) to generate a system capable of recognition of the operator’s skill and correction of mistakes from the operator in operating time. The output from the Fuzzy controller is the level of autonomy to be used by the robot. The levels implemented are Manual (operator controls the angular and linear velocities of the robot); Shared (speeds are shared between the operator and the autonomous system); Supervisory (robot controls the angular velocity to stay in the weld bead, and the operator controls the linear velocity); Autonomous (the operator defines endpoint and the robot controls both linear and angular velocities). These autonomy levels, along with the proposed sliding autonomy, are then analyzed through robot experiments in a simulated environment, showing each of these modes’ purposes. The proposed approach is evaluated in virtual industrial scenarios through real distinct operators.

Adjustable autonomy: a systematic literature review

2017 ◽  
Vol 51 (2) ◽  
pp. 149-186 ◽  
Author(s):  
Salama A. Mostafa ◽  
Mohd Sharifuddin Ahmad ◽  
Aida Mustapha
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Adjustable Autonomy
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