Andrej Boshlyakov

Bauman Moscow State Technical University

Papers

1

Total Citations

4

H-Index

1

About

Andrej Boshlyakov’s research centers on the mathematical modeling and optimization of robotic gripping devices, with a particular focus on drive unit dynamics. His most-cited work, “DRIVE UNIT MATHEMATICAL MODEL OF ROBOT GRIPPING DEVICES” (2019, 4 citations), addresses the critical challenge of improving technical characteristics in robotic grippers by analyzing how drive motors and gear units introduce elasticity, backlash, and friction that degrade system performance. Boshlyakov’s contributions provide a foundational framework for modeling these nonlinearities, enabling more precise control and reliability in robotic manipulation. Though his citation count is modest, his work holds practical significance for advancing automation in manufacturing and robotics, where gripper precision is paramount. His research underscores the importance of mechanical design in achieving high-quality robotic interactions, offering valuable insights for engineers developing next-generation gripping systems. Boshlyakov’s dedication to refining drive unit models positions him as a specialist in the intersection of mechanical engineering and robotics, with potential for broader impact as automation technologies evolve.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
DRIVE UNIT MATHEMATICAL MODEL OF ROBOT GRIPPING DEVICES
4 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Bauman Moscow State Technical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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