Kingson Man

Papers

Total Citations

202

H-Index

About

Kingson Man is a pioneering researcher at the intersection of artificial intelligence, robotics, and affective science. His work centers on designing machines that can feel—moving beyond mere cognition to incorporate embodied, emotional intelligence. In his highly cited 2019 paper, "Homeostasis and soft robotics in the design of feeling machines" (165 citations), Man introduced a novel framework for building robots that experience internal states akin to emotions, using soft robotics and homeostatic principles to create machines capable of self-regulation and adaptive behavior. This foundational work has shaped the emerging field of affective robotics. More recently, in "Preventing antisocial robots: A pathway to artificial empathy" (2023, 37 citations), Man addresses the urgent ethical imperative of equipping AI with genuine empathy to avert harmful decisions. He critiques current approaches for neglecting the role of affect, arguing that true artificial empathy must be rooted in embodied feeling, not just cognitive simulation. Man’s research offers a compelling vision for a future where machines are not just intelligent, but emotionally aware and socially responsible.