Amar Singh Kalsi

Papers

Total Citations

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About

Amar Singh Kalsi is a researcher at the forefront of human-robot collaboration, with a specific focus on transforming agriculture through intelligent automation. His work bridges robotics, human factors, and agricultural engineering to design co-labourers that work alongside farmers, not replace them. Kalsi’s major contributions center on understanding how humans respond to robot errors in shared tasks, a critical challenge for real-world deployment. His 2020 study on collaborative selective harvesting demonstrated that robot mistakes significantly affect human trust and performance, providing foundational insights for designing more adaptive systems. In parallel, his experiments on simulated agricultural tasks and his vision for “robot co-labourers” have laid the groundwork for human-aware automation in farming. Though early in his career, his papers have already garnered citations from researchers in human-robot interaction, agricultural robotics, and cognitive engineering. Kalsi’s work is notable for its user-centered approach—prioritizing the human partner’s experience in the loop. For students and researchers, his research offers a compelling model of how to integrate psychological and engineering perspectives to build robots that are not just functional, but truly collaborative partners in the farm of the future.