Sangwook Kim

Papers

Total Citations

H-Index

About

Sangwook Kim is a researcher at the intersection of artificial intelligence and robotics, with a primary focus on human-robot interaction and intention recognition. His work centers on enabling artificial agents to understand human intentions by bridging perception and action learning, a concept he explores through the lens of affordance theory. In his most-cited paper, "Understanding human intention by connecting perception and action learning in artificial agents" (2017, 21 citations), Kim proposes a framework that allows robots to infer human goals by learning the relationships between actions, objects, and outcomes. This foundational work builds on his earlier research in "Human-Robot Interaction using Intention Recognition" (2015, 4 citations), where he discusses how robots can respond adequately to human wishes by leveraging affordance-based learning. Kim has also ventured into creative robotics, developing an art robot system that represents image brightness (2012, 2 citations). While his citation counts are modest, his contributions to intention recognition in human-robot interaction offer valuable insights for researchers aiming to create more intuitive and responsive artificial agents.