Robots, Objects, Humans: Towards Seamless Interaction in Intelligent Environments - Supporting Complex Cooperative Interactions between Humans and Technical Systems in Real World Scenarios through Cognitive Objects

M. Kranz, Andreas Möller, L. Roalter
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引用次数: 7

Abstract

Future intelligent environments will be inhabited by humans, robots and ‘Smart Objects’ and allow for seamless interaction beyond the desktop. These environments therefore have to be adaptive, self-organizing, provide autonomous reasoning and integrate a variety of heterogenous hardware, objects, sensors and actuators – which goes far beyond merely interconnecting different kinds of technology. In light of the dawn of personal robotics, these environments should be equally usable and supportive for humans and robots. Manipulation tasks involving physical objects are at core of the interaction in these environments. This places novel challenges on the involved ‘Smart Objects’. We present an approach for supporting robotic systems in the interaction with physical objects while maintaining human usability and functionality by using so-called ‘Cognitive Objects’. We describe our infrastructure to support developing, simulating, testing and deploying of pervasive computing systems, using ROS (Robot Operating System) as middleware, and present several application scenarios. The scenarios are not limited to the robotics domain, but include location-aware services, intelligent environments and mobile interaction therein. Based on our experience, recommendations for the design of ‘Cognitive Objects’ (CO) and environments are given, to address the individual strengths of humans and machines and to foster new synergies in shared human-robot environments.
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机器人,物体,人类:在智能环境中实现无缝交互-通过认知对象在现实世界场景中支持人类和技术系统之间的复杂协作交互
未来的智能环境将由人类、机器人和“智能物体”共同居住,并允许桌面之外的无缝交互。因此,这些环境必须是自适应的、自组织的,提供自主推理,并集成各种异质硬件、对象、传感器和执行器——这远远超出了仅仅连接不同种类的技术。鉴于个人机器人技术的曙光,这些环境应该对人类和机器人同样可用和支持。在这些环境中,涉及物理对象的操作任务是交互的核心。这对涉及的“智能对象”提出了新的挑战。我们提出了一种支持机器人系统与物理对象交互的方法,同时通过使用所谓的“认知对象”来保持人类的可用性和功能。我们描述了我们的基础设施,以支持开发、模拟、测试和部署普适计算系统,使用ROS(机器人操作系统)作为中间件,并给出了几个应用场景。这些场景不仅限于机器人领域,还包括位置感知服务、智能环境和其中的移动交互。根据我们的经验,给出了“认知对象”(CO)和环境设计的建议,以解决人类和机器的个人优势,并在共享的人机环境中培养新的协同作用。
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