Dimitrios Arapis
Papers
3
Total Citations
8
H-Index
2
About
Dimitrios Arapis is a robotics researcher focused on advancing 3D perception for autonomous mobile robots operating in complex, human-shared environments. His work centers on three key areas: reliable 3D scene understanding, human-aware navigation, and efficient multi-task perception for industrial settings. Arapis has made significant contributions by developing methods that bridge depth estimation and completion, enabling mobile robots to achieve robust 3D perception even with sparse sensor data. His research on real-time human 3D localization and free space segmentation is particularly impactful, as it addresses the critical challenge of socially-aware navigation by predicting human positions and dynamic obstacles simultaneously. In his 2023 work on multi-task learning, Arapis introduced a simulated warehouse dataset to train industrial robots in processing multiple perception tasks—such as object detection, segmentation, and depth estimation—within a single, efficient framework. While his publications are recent, with top papers accumulating 3 citations each, his integrated approach to perception and human-robot interaction is poised to influence the next generation of autonomous industrial mobile robots, where safety and compliance in shared spaces are paramount.
Research Focus
Key Achievements
Top Papers
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- 3