Human–robot collaboration and machine learning: A systematic review of recent research

Technological progress increasingly envisions the use of robots interacting with people in everyday life. Human–robot collaboration (HRC) is the approach that explores the interaction between a human and a robot, during the completion of a common objective, at the cognitive and physical level. In HRC works, a cognitive model is typically built, which collects inputs from the environment and from the user, elaborates and translates these into information that can be used by the robot itself. Machine learning is a recent approach to build the cognitive model and behavioural block, with high potential in HRC. Consequently, this paper proposes a thorough literature review of the use of machine learning techniques…

• EA
  Engineering and Physical Sciences Research Council

  Award: 2480772