Papers
22
Total Citations
406
H-Index
10
About
Maria Koskinopoulou is a robotics researcher whose work spans industrial automation, human-robot interaction, medical robotics, and autonomous systems. She is perhaps best known for her pioneering contributions to robotic waste sorting, with her 2021 paper "Robotic Waste Sorting Technology: Toward a Vision-Based Categorization System" accumulating an impressive 157 citations — a testament to the field's urgent need for intelligent, vision-driven automation in recycling industries. Building on this, her 2020 work on robotic pick-and-toss techniques (44 citations) further advanced practical solutions for urban waste management. Beyond industrial robotics, Koskinopoulou has made notable contributions to humanoid robot locomotion, developing the SEROW state estimation framework for walking robots (39 citations), and to human-robot collaboration through learning-from-demonstration methodologies. Her research portfolio also reflects a strong commitment to socially impactful applications, including a vision-guided robotic system for cancer tissue detection during surgery, autonomous intravenous access devices, and digital twin technologies for underwater teleoperation. More recently, she has expanded into workplace safety through machine learning-based PPE detection. Across these diverse domains, Koskinopoulou consistently bridges cutting-edge robotics with real-world challenges, establishing herself as a versatile and socially conscious contributor to modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotic Pick-and-Toss Facilitates Urban Waste Sorting44 citations · 2020
- 3Nonlinear State Estimation for Humanoid Robot Walking39 citations · 2018
- 4On the Use of Vacuum Technology for Applied Robotic Systems19 citations · 2020
- 5
- 6
- 7Robotic Devices for Assisted and Autonomous Intravenous Access15 citations · 2023
- 8
- 9
- 10Digital Twins Below the Surface: Enhancing Underwater Teleoperation12 citations · 2024