Papers
20
Total Citations
186
H-Index
9
About
Nikola Shakev is a prominent researcher in robotics and human-robot interaction, whose work spans mobile robotics, sensor-based control systems, autonomous navigation, and emerging technologies such as blockchain-integrated multi-agent systems. His research has made significant contributions to the development of intuitive gestural interfaces for robot control, leveraging devices like the Leap Motion sensor and Microsoft Kinect to enable natural, real-time command of mobile robots, robotic manipulators, and quadrotors — work that has collectively attracted over 120 citations across his most influential publications. Shakev has also advanced the field of autonomous robot behavior, pioneering methods for target recognition and following using deep convolutional neural networks combined with 2D LiDAR data, enabling robots to operate intelligently alongside humans in shared environments. His investigations into robotized wireless sensor networks and MQTT-based cloud computing platforms demonstrate a keen interest in scalable environmental monitoring solutions. Notably, his 2019 analysis of blockchain applications in multi-agent robotic systems positions him at the frontier of decentralized robotics research. Through a consistent focus on bridging cyber and physical systems, Shakev's body of work reflects a vision for smarter, safer, and more collaborative autonomous platforms.
Research Focus
Key Achievements
Top Papers
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- 4A robotized wireless sensor network based on MQTT cloud computing14 citations · 2017
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- 6Environmental monitoring using a robotized wireless sensor network13 citations · 2018
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- 10Control of the flight of a small quadrotor using gestural interface9 citations · 2016