Giuliano Taglialatela

Papers

Total Citations

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About

Giuliano Taglialatela is a researcher at the forefront of human-robot interaction (HRI), specializing in how robots can navigate social failures through emotionally expressive behavior. His work centers on designing robotic gestures that convey empathy, apology, or frustration when robots fail to meet user expectations—a critical challenge as social robots become more prevalent in everyday life. His most-cited paper, "Generating Emotional Gestures for Handling Social Failures in HRI" (2022), has garnered 6 citations and explores how limitations in hardware and software can be mitigated by non-verbal communication, allowing robots to maintain user trust even after errors. This contribution is notable for bridging the gap between robotic capability and human expectation, offering a framework for more resilient, socially aware machines. Taglialatela’s research has implications for service robots, assistive technologies, and interactive AI, where emotional intelligence is key to long-term user engagement. His work is increasingly recognized as foundational for developing robots that can gracefully recover from mistakes, making him a rising voice in the field of socially adaptive robotics.