Konstantinos Tsiolis
Papers
3
Total Citations
30
H-Index
2
About
Konstantinos Tsiolis is a researcher at the forefront of robotics and computer vision, with a focus on agricultural automation, surgical assistance, and human-robot collaboration. His work addresses critical challenges in deploying autonomous systems in unstructured environments. Tsiolis led the development of the Bacchus Long-Term (BLT) data set, a pioneering multimodal agricultural dataset acquired through automated robot deployment, which has garnered 24 citations and provides a benchmark for long-term field monitoring and crop management. In the medical domain, he advanced real-time stereo reconstruction for robot-assisted minimally invasive surgery (RAMIS), enabling intraoperative scene registration to preoperative 3D models to augment surgeons’ visual feedback—a contribution that enhances precision and safety in complex procedures. Additionally, Tsiolis has explored multi-modal 3D human pose estimation to improve human-robot collaborative applications, facilitating safer and more intuitive interactions in shared workspaces. With a total of 30 citations across his most cited works, Tsiolis is recognized for bridging the gap between perception and autonomy, driving innovation in both agricultural and surgical robotics.
Research Focus
Key Achievements
Top Papers
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