Ting-Sheng Chu

Papers

Total Citations

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About

Ting-Sheng Chu is a pioneering researcher in social human-robot interaction (HRI), with a focus on designing robots that can intelligently and empathetically engage with humans in everyday environments. His work bridges robotics, cognitive science, and human-centered computing, particularly in developing robots that recognize and adapt to human social cues. Chu's most influential paper, "Personalizing robot behavior for interruption in social human-robot interaction" (2014, 20 citations), explores how robots can learn individual human tolerance for interruptions—a key step toward natural, context-aware collaboration. His earlier work, "Human-oriented recognition for intelligent interactive office robot" (2013, 12 citations), introduced a sensor-fusion framework that enables robots to perceive and respond to human activities in dynamic office settings. Together, these contributions have shaped the design of socially aware service robots, emphasizing personalization and real-time adaptation. Chu's research is foundational for students and engineers working on assistive robotics, smart environments, and human-aware AI, demonstrating that effective HRI requires not just technical capability but an understanding of human behavioral nuance.