Papers
34
Total Citations
703
H-Index
16
About
Chris Lytridis is a versatile robotics researcher whose work spans agricultural automation, educational robotics, and robot-assisted therapy, making meaningful contributions across each of these domains. His most influential work, "An Overview of Cooperative Robotics in Agriculture" (2021), has accumulated 160 citations and established him as a leading voice in addressing critical challenges such as labor shortages and environmental sustainability through robotic systems. Building on this, his deep learning approach to precision viticulture using YOLOv7 (2023, 34 citations) and his recent survey on automated weeding robots (2024, 26 citations) demonstrate a sustained commitment to modernizing agricultural practice. Equally notable is Lytridis's pioneering research in social robotics for education and therapy. His studies employing the NAO robot as a pedagogical tool (2018, 33 citations) and his investigations into robot-assisted interventions for children with Autism Spectrum Disorder (2022, 46 citations) highlight a deeply humanistic dimension to his technical expertise. His early work on odor-based navigation strategies (2001, 30 citations) reveals a longstanding curiosity about bio-inspired robotics. Collectively, his publications have garnered hundreds of citations, reflecting broad impact across engineering, education, and healthcare communities.
Research Focus
Key Achievements
Top Papers
- 1An Overview of Cooperative Robotics in Agriculture160 citations · 2021
- 2On Measuring Engagement Level During Child-Robot Interaction in Education47 citations · 2019
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- 6A systematic approach to the problem of odour source localisation32 citations · 2006
- 7Odor-Based Navigational Strategies for Mobile Agents30 citations · 2001
- 8Distance Special Education Delivery by Social Robots27 citations · 2020
- 9Recent Advances in Agricultural Robots for Automated Weeding26 citations · 2024
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