Spatial Human Robot Interaction Marker Platform (SHRIMP)

ClassicMazeThrough my previous post, I highlighted the Augmented Reality’s (AR) potential to function as a novel paradigm in Human-Robot-Interactions (HRI). Marker-less AR seems more plausible for this work, as it can readily mark points in space, without demanding a prior knowledge of the environment. In other words, we can just look at any random environment and mark any point in that environment real time. By placing a virtual marker, we already saw a demonstration on how can we persistently mark space, so that virtual markers remained persistent under changing perspectives of the camera, often like as if they were real.

Now we will continue from that point onwards, and see how can we apply such an AR-based spatial marker platform into HRI. In this article we make a case study in which we assimilate Augmented Reality into robot navigation. Virtual markers are overlaid on the video feed captured by a camera which in turn is mounted on top of the robot. We mark a point in space, just by placing a virtual AR marker, so then the robot automatically navigates to the location we pointed. My hypothesis here is to prove that just by pointing somewhere in space, we could readily perform HRI tasks – especially navigation. But before moving into application specific details let us dive into some background about HRI and marking space.

Continue reading “Spatial Human Robot Interaction Marker Platform (SHRIMP)”

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Remote Human-Robot Operations with Adjustable Autonomy

CuriosityThis article was based on the work carried out by [1]. In future NASA’s space missions will include more and more interactive robots. The Curiosity rover that has been recently sent to Mars was a good example for that. These kinds of robots require new remote operation mechanisms for effective use. In such a tele-operated context, a human team should constantly supervise the robot and manually perform tasks whenever needed.

An important aspect of such operations is the ability to allocate tasks between humans and robots effectively. This capability was known as Adjustable Autonomy (Adaptive Autonomy) so that the automation can be smart enough to achieve the autonomy required according to changing situations. Human-robot interactions are closely related to adjustable autonomy, and they both go side-by-side. Apparently, human robot operations are highly dependent upon the scenario so that they become specific to a given robot, thus making it hard to generalize them. Given below is a sub-set of such human robot operations. Continue reading “Remote Human-Robot Operations with Adjustable Autonomy”