Sandro Bacinelli

Papers

Total Citations

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About

Sandro Bacinelli is a researcher at the forefront of human-robot interaction, with a particular focus on augmented reality (AR) systems that enhance transparency and trust in autonomous systems. His most cited work, "Third Point of View Augmented Reality for Robot Intentions Visualization" (2016, 35 citations), introduced a novel approach to making robotic decision-making visible to human collaborators. By overlaying a third-person perspective AR interface, Bacinelli enabled users to intuitively perceive a robot’s planned actions and intentions—a critical step toward safe and effective human-robot teamwork. This contribution has been influential in the fields of collaborative robotics and shared autonomy, where understanding a machine’s next move is essential. Bacinelli’s research bridges computer vision, cognitive ergonomics, and interface design, and his work continues to inform the development of more transparent and user-friendly robotic systems. His studies are frequently cited in the growing literature on explainable AI and human-robot interaction, underscoring his role in shaping how researchers and engineers approach the challenge of making intelligent machines more predictable and trustworthy.