Arpit Singh

Papers

Total Citations

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About

Arpit Singh is a leading voice in the emerging field of explainable human-robot interaction, where his work bridges the critical gap between autonomous systems and their human collaborators. His research centers on making robotic teammates more transparent and predictable, directly addressing the coordination challenges that arise when humans and machines work side-by-side. In his highly influential 2021 paper, “Explainability in Human-Robot Teaming,” Singh established a foundational framework for how robots can articulate their intentions and anticipated needs to human partners. This work, which has already garnered 15 citations, argues that for a team to succeed, every member—human or machine—must be aware of each other's future actions and requirements. By focusing on the robot’s ability to “explain” its decision-making process in real-time, Singh’s contributions are shaping the design of more intuitive and trustworthy collaborative systems. His research is not just about technical capability; it is about fostering genuine, effective partnership between people and intelligent machines, making him a key figure in the future of human-robot teamwork.