Knowledge Management in Human-Robot Interaction Approaches and Processes

Open Issues In Literature

Research in Human–robot interaction goes hand in hand with research into the robot’s degree of autonomy, as a determinant in the level of complexity of the interaction that the robot agent can handle and the kinds of tasks it can perform successfully. Automation and interaction levels differ from system to system and are defined by both requirements of the human and the system. (Sheridan, 2012). With systems that have high levels of automation, human robot interaction is minimal and the robot agents in the system carries out most tasks and decision making; whereas in systems with low automation, the human robot interaction is higher and the supervisor is more involved in making decisions while controlling the system through inputs (Sheridan, 2012).

Human robot interaction can be categorized into these 4 general areas of application. (Sheridan, 2016).

The main characteristics of robot agents in human-robot interaction includes their ability to exhibit cognitive skills such as

• 1.

  The ability to understand and process dialogue from humans through verbal and non -verbal cues. This takes the form of speech, slang, dialect, intonation etc., for verbal cues and – gaze orientation, postures, gestures, facial expressions etc. for non-verbal cues.

• 2.

  The ability to perceive understand and manipulate the environment and potentially anticipate and predict the human intentions and actions to help modulate the environment. This must be done not only from the robot point of view, but also from the other agents’ points of view

• 3.

  The ability to plan, control and monitor the human agents’ actions in furtherance of the stated goal of the interaction