Multilevel allocation modes — allocator control policies to share tasks between human and computer
Systems Analysis Modelling Simulation
Theory and Evaluation of Human Robot Interactions
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 5 - Volume 5
Evolution of behaviors in autonomous robot using artificial neural network and genetic algorithm
Information Sciences: an International Journal
A hierarchical model for test-cost-sensitive decision systems
Information Sciences: an International Journal
A reinforced iterative formalism to learn from human errors and uncertainty
Engineering Applications of Artificial Intelligence
Towards an architecture for semiautonomous robot telecontrol systems
Information Sciences: an International Journal
Information Sciences: an International Journal
Journal of Artificial Intelligence Research
Vision-based global localization for mobile robots with hybrid maps of objects and spatial layouts
Information Sciences: an International Journal
A function-based user authority delegation model
Information Sciences: an International Journal
Computational intelligence for structured learning of a partner robot based on imitation
Information Sciences: an International Journal
Human behaviour analysis of barrier deviations using a benefit-cost-deficit model
Advances in Human-Computer Interaction
Biased discriminant euclidean embedding for content-based image retrieval
IEEE Transactions on Image Processing
Active reranking for web image search
IEEE Transactions on Image Processing
Principles of adjustable autonomy: a framework for resilient human–machine cooperation
Cognition, Technology and Work
A model for types and levels of human interaction with automation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Designing a meta-model for a generic robotic agent system using Gaia methodology
Information Sciences: an International Journal
How to learn from the resilience of Human-Machine Systems?
Engineering Applications of Artificial Intelligence
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This study concerns autonomous ground vehicles performing missions of observation or surveillance. These missions are accomplished under the supervision of human operators, who can also remotely control the unmanned vehicle. This kind of human-machine system is likely to face perturbations in a dynamic natural environment. However, human operators are not able to manage perturbations due to overload. The objective of this study is to provide such systems with ways to anticipate, react and recover from perturbations. In other words, these works aim at improving system resilience so that it can better manage perturbations. This paper presents a model of human-robot cooperative control that helps to improve the resilience of the human-machine system by making the level of autonomy adjustable. A formalism of agent autonomy is proposed according to the semantic aspects of autonomy and the agent's activity levels. This formalism is then used to describe the activity levels of the global human-machine system. Hierarchical decision-making methods and planning algorithms are also proposed to implement these levels of activity. Finally, an experimental illustration on a micro-world is presented in order to evaluate the feasibility and application of the proposed model.