Shankar Sankaran
Papers
6
Total Citations
38
H-Index
4
About
Shankar Sankaran is a leading voice in the sociotechnical systems (STS) approach to human-robot teaming, with a particular focus on transforming the construction industry. His research reimagines how humans and intelligent robots can collaborate effectively by treating technology, people, and organizational structures as interdependent components rather than isolated elements. Sankaran’s most influential work, “Advancing sociotechnical systems theory: New principles for human-robot team design and development” (12 citations), establishes foundational design principles for human-robot teams, while his case study on construction automation (10 citations) demonstrates how these principles work in practice. He has also explored how STS frameworks can address grand societal challenges, including hybrid workplaces and digital transformation. Sankaran’s contributions extend to technical innovations, such as a 3D vector field and gaze data fusion framework for predicting hand motion intentions in human-robot collaboration. His work bridges theory and application, offering actionable guidance for deploying robotics from lab to field. With a growing citation footprint and a clear trajectory toward shaping the future of work, Sankaran is a key figure in ensuring that automation serves human needs.
Research Focus
Key Achievements
Top Papers
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