Sibel Toprak

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About

Sibel Toprak is a leading researcher in cognitive robotics, specializing in visuo-haptic perception and human-robot interaction. Her work bridges the gap between artificial vision and touch, aiming to endow autonomous robots with object perception capabilities that rival human proficiency. Toprak’s most influential contribution is her comprehensive overview of visuo-haptic object perception for robots (2023, 62 citations), which synthesizes advancements in artificial vision and tactile sensing, establishing a foundational framework for the field. She further advanced this area by evaluating integration strategies for visuo-haptic object recognition (2017, 21 citations), demonstrating that cross-modal interactions between vision and touch—mimicking human neural processing—significantly improve robotic recognition accuracy. Beyond perception, Toprak developed practical applications such as a robotic home assistant with memory aid functionality (2016, 16 citations), showcasing her commitment to assistive technologies. Her research has garnered over 99 citations, reflecting its impact on both theoretical understanding and real-world robotics. Toprak’s work is essential reading for students and researchers interested in multimodal sensory integration, cognitive robotics, and creating robots that perceive and interact with the world more like humans.