Papers
9
Total Citations
447
H-Index
4
About
Christos Sevastopoulos is a leading researcher at the intersection of robotics, artificial intelligence, and healthcare, whose work is shaping how autonomous systems perceive and navigate complex environments. His most impactful contribution, the widely cited survey "A Survey of Robots in Healthcare" (371 citations), establishes him as a key voice on the role of robotic systems in supporting the elderly, children, and persons with disabilities across hospitals and rehabilitation settings. Beyond healthcare, Sevastopoulos has made foundational advances in traversability estimation for mobile robots, authoring a major survey on the topic (46 citations) and developing novel methods that reduce the need for labeled data—such as his work on fine-tuning Vision Transformers for indoor navigation and fusing RGB with laser range finder data for more robust terrain assessment. His research also tackles the sim-to-real gap in robot vision, creating simulated environments that enable cost-effective training for field robotics. With a portfolio spanning autonomous experimentation, free-space segmentation, and sensor fusion, Sevastopoulos is driving progress toward robots that can safely and intelligently move through the world—from hospital corridors to unstructured outdoor terrain.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Robots in Healthcare371 citations · 2021
- 2A Survey of Traversability Estimation for Mobile Robots46 citations · 2022
- 3Improving Traversability Estimation Through Autonomous Robot Experimentation12 citations · 2019
- 4A Simulated Environment for Robot Vision Experiments5 citations · 2022
- 5Indoors Traversability Estimation with Less Labels for Mobile Robots4 citations · 2022
- 6Indoors Traversability Estimation with RGB-Laser Fusion3 citations · 2023
- 7
- 8
- 9A Survey of Traversability Estimation for Mobile Robots2 citations · 2022