Adriana Tapus

École Nationale Supérieure de Techniques Avancées

Papers

Total Citations

H-Index

About

Adriana Tapus is a prominent researcher at the intersection of human-robot interaction (HRI), artificial intelligence, and social robotics, whose work is shaping how intelligent machines integrate into human-centered environments. Her research addresses some of the field's most pressing challenges, particularly how robots can develop sophisticated social and cognitive capabilities to function effectively alongside people in real-world settings. Tapus has made notable contributions to context-aware robotics, exploring how robots can dynamically interpret and respond to complex social environments — work that has already garnered citations within the research community. Her investigations into social robots as educational tutors have pushed boundaries in understanding whether machines can meaningfully replicate human tutoring behaviors, examining critical variables such as help-seeking behavior, cognitive load, and learning performance. Additionally, her pioneering work on robot self-recognition through facial expression sensorimotor learning draws on human cognition research to advance machine self-awareness — a fundamental step toward truly autonomous social robots. What distinguishes Tapus's contributions is her interdisciplinary approach, bridging cognitive science, AI, and robotics to tackle questions that matter both scientifically and practically. Her growing citation record reflects an expanding influence on a research community eager to build robots that genuinely understand and connect with the humans they serve.