The workshop will delve into the critical role of robot decision-making in achieving an effective collaboration between humans and robots, emphasizing the creation of shared abstraction models to leverage their respective strengths. The workshop will explore how system transparency serves as a vital bridge between shared autonomy and trust, providing human operators with clear and comprehensive insights into the robot's intentions, actions, and decision-making processes. The workshop will focus on but is not limited to, the following topics:
Shared decision making
Human intention modeling
Explainable robot decision making
Explicit and implicit HR communication
Trust evaluation in HRC
Theory of mind
Human-aware task and motion planning
Data-driven synthesis of collaborative behaviors
Online learning from demonstration
Perspective taking in robotics
Cognitive-inspired robotics
Social norms and ethics in human-robot Interaction