Abstract
The Internet of Robotic Things is an emerging vision that brings together pervasive sensors and objects with robotic and autonomous systems. This survey examines how the merger of robotic and Internet of Things technologies will advance the abilities of both the current Internet of Things and the current robotic systems, thus enabling the creation of new, potentially disruptive services. We discuss some of the new technological challenges created by this merger and conclude that a truly holistic view is needed but currently lacking.
Highlights
The Internet of Things (IoT) and robotics communities have so far been driven by different yet highly complementary objectives, the first focused on supporting information services for pervasive sensing, tracking and monitoring; the latter on producing action, interaction and autonomous behaviour
There is an overlap between cloud robotics and internet of robotic things (IoRT), the former paradigm is more oriented towards providing network-accessible infrastructure for computational power and storage of data and knowledge, while the latter is more focused on M2M communication and intelligent data processing
If robots subscribe themselves as additional actors in the environment, this gives rise to a new strand of problems in distributed consensus and collaboration for the IoT, because robots typically have a larger degree of autonomy than traditional IoT ‘smart’ objects, and because they are able to modify the physical environment leading to complex dependencies and interactions
Summary
The Internet of Things (IoT) and robotics communities have so far been driven by different yet highly complementary objectives, the first focused on supporting information services for pervasive sensing, tracking and monitoring; the latter on producing action, interaction and autonomous behaviour. The cloud paradigm was adopted by the robotics community, called cloud robotics[9,10,11,12] for offloading resource-intensive tasks,[13,14] for the sharing of data and knowledge between robots[24] and for reconfiguration of robots following an app-store model.[25] there is an overlap between cloud robotics and IoRT, the former paradigm is more oriented towards providing network-accessible infrastructure for computational power and storage of data and knowledge, while the latter is more focused on M2M communication and intelligent data processing The focus of this survey is on the latter, discussing the potential added value of the IoT-robotics crossover in terms of improved system abilities, as well as the new technological challenges posed by the crossover. These abilities are closely related to the research challenges identified in the US Robotics roadmap[27] (see Figure 2)
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