Atanas Tanev
Papers
5
Total Citations
59
H-Index
3
About
Atanas Tanev is a robotics researcher whose work bridges the critical gap between industrial automation and intelligent, human-aware systems. His primary research areas include real-time robotic control, human-robot interaction (HRI), and the application of artificial intelligence to manufacturing. Tanev’s most influential contribution is his pioneering evaluation of real-time performance in ROS2-based distributed networks, a study that has garnered 31 citations and addresses the fundamental limitations of ROS1 in industrial settings. By proposing a synchronized, distributed architecture, he has laid essential groundwork for replacing monolithic black-box controllers with modular, real-time capable systems. Beyond control systems, Tanev has advanced intuitive HRI through vision-based gesture control, enabling robots to interpret human commands without specialized hardware. His work on AI-driven assembly applications and reinforcement learning for task-oriented grasping further demonstrates his commitment to making robots more adaptable and collaborative. With a growing citation record and a focus on practical, deployable solutions, Tanev is shaping the future of flexible, intelligent manufacturing environments.
Research Focus
Key Achievements
Top Papers
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