Human leading or following preferences: Effects on human perception of the robot and the human-robot collaboration
Abstract: Highlights•Implementing the task planning framework, adaptable to the human agent’s preference and performance, in a designed autonomous pick-and-place scenario.•Implementing dynamic task and action updates based on task states, agents’ actions, and human errors.•Investigating how the cobot’s adaptive planning influences participants’ perception of the robot and collaboration.•Exploring the influence of participants’ preferences, collaboration attitude, leadership style, and initial trust on their task planning and collaboration.
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