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As robots are introduced to various domains and applications, Human-Robot Teaming (HRT) capabilities are essential. Such capabilities involve teaming with humans in, on, or out-the-loop at different levels of abstraction, leveraging the complementing capabilities of humans and robots. This requires robotic systems with the ability to dynamically vary their level or degree of autonomy to collaborate with the human(s) efficiently and overcome various challenging circumstances. Variable Autonomy (VA) encompasses such research, including but not limited to shared control and shared autonomy, mixed-initiative, adjustable autonomy, sliding autonomy, and adaptive automation.
A complete Variable Autonomy human-robot system benefits from research in various fields as it needs to tackle a plethora of challenges. Such challenges include: planning and decision-making (including determining the appropriate level of decision-making), control, interfaces, modelling of human behaviour and motion (including human intent and Theory of Mind), human factors (for example, cognitive workload, situation awareness, and experience), and autonomous capabilities such as perception, navigation, manipulation, mapping and exploration. This collection is driven by the timely need to bring together Variable Autonomy-related research and practices often disconnected across different communities as the field is relatively young. The collection’s goal is to consolidate research in Variable Autonomy.
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