Papers
16
Total Citations
197
H-Index
7
About
Antonia Tzemanaki is a leading researcher at the intersection of robotics, haptics, and human-robot interaction, with a primary focus on advancing robot-assisted minimally invasive surgery (R-MIS) and teleoperation for extreme environments. Her work is distinguished by a human-centered design philosophy, most notably through the development of μAngelo, an anthropomorphic master-slave surgical system featuring a miniature three-fingered hand that replicates human dexterity. This system, detailed in her highly cited 2016 paper, addresses critical limitations in surgical dexterity and training. Tzemanaki’s contributions extend to force estimation, where she pioneered a neural network algorithm to estimate tool-tissue forces without external sensors (32 citations), and to tactile sensing, with an optical-tactile sensor for lump detection (12 citations). Her 2019 paper on requirements elicitation for R-MIS (66 citations) is a cornerstone work that systematically captures end-user needs to bridge the gap between technological development and clinical adoption. More recently, she has tackled the challenge of haptic feedback in high-latency teleoperation for space applications (19 citations), demonstrating the broad applicability of her research. Her work on trustworthiness requirements for dexterous teleoperation systems and acceptability of automated robotic clinical breast examination further showcases her commitment to translating robotic innovation into real-world, user-accepted solutions.
Research Focus
Key Achievements
Top Papers
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- 5Optical-Tactile Sensor for Lump Detection Using Pneumatic Control12 citations · 2021
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