Veselin Dikov
Papers
1
Total Citations
2
H-Index
1
About
Veselin Dikov is a robotics researcher whose work centers on the intersection of perception, human-robot collaboration, and intelligent systems. His key contributions lie in developing robust sensing and calibration frameworks for distributed camera networks, enabling safe and effective human-robot interaction in shared workspaces. His most-cited paper, "Setup and calibration of a distributed camera system for surveillance of laboratory space" (2013), details the design and implementation of a 40-camera top-down system covering a 100-square-meter area, where humans and mobile manipulators work jointly. This work has garnered 2 citations and stands as a foundational reference for researchers building multi-camera setups for collaborative robotics. Beyond this, Dikov's research explores how distributed perception can enhance situational awareness and safety in dynamic environments, a critical challenge for deploying robots in real-world settings. His achievements include advancing practical calibration techniques that reduce complexity in large-scale camera arrays, directly supporting the growing field of human-robot teamwork. For students and researchers, Dikov’s work offers a clear example of how careful system design and calibration can unlock new possibilities in collaborative robotics.
Research Focus
Key Achievements
Top Papers
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