Artem Pastukhov
Papers
2
Total Citations
19
H-Index
2
About
Artem Pastukhov is a researcher at the forefront of accessible industrial robotics, with a primary focus on collaborative robotics, affordable automation, and the integration of deep learning with robotic vision systems. His work directly addresses the critical financial and technical barriers faced by Small and Medium Enterprises (SMEs) in adopting modern manufacturing technologies. Pastukhov’s major contributions include developing a universal gripping solution for robot applications—a methodology that enables flexible, cost-effective pick-and-place operations without the need for expensive custom tooling. He also pioneered an affordable deep learning-based solution that pairs low-cost cameras with neural networks to support real-time object detection and grasping in robotic tasks. This work has been cited over 20 times, reflecting its practical relevance to both academia and industry. By demonstrating that high-level automation is achievable without prohibitive investment, Pastukhov’s research empowers SMEs to compete in the modern manufacturing landscape, making him a key figure in the democratization of smart robotics.
Research Focus
Key Achievements
Top Papers
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