Assistive technologies and in particular assistive robotic arms have the potential to enable people with motor impairments to live a self-determined life. More and more of these systems have become available for end users in recent years, such as the Kinova Jaco robotic arm. However, they mostly require complex manual control, which can overwhelm users. As a result, researchers have explored ways to let such robots act autonomously. However, at least for this specific group of users, such an approach has shown to be futile. Here, users want to stay in control to achieve a higher level of personal autonomy, to which an autonomous robot runs counter. In our research, we explore how Artifical Intelligence (AI) can be integrated into a shared control paradigm. In particular, we focus on the consequential requirements for the interface between human and robot and how we can keep humans in the loop while still significantly reducing the mental load and required motor skills.

翻译：辅助技术，尤其是辅助机械臂，有望帮助运动障碍者过上自主生活。近年来，越来越多的此类系统已向终端用户开放，例如Kinova Jaco机械臂。然而，这些系统大多需要复杂的手动控制，这可能会令用户不堪重负。为此，研究人员探索了让这类机器人自主运行的方法。但至少对于这一特定用户群体而言，此类方法已被证明效果有限。用户希望保持控制权，以实现更高程度的个人自主性，而自主机器人恰恰与之相悖。在本研究中，我们探讨如何将人工智能（AI）整合到共享控制范式中。我们特别关注人机界面的相关需求，以及如何在显著减轻认知负荷和所需运动技能的同时，让人类始终处于控制环路之中。