Ivan Abramov
Papers
2
Total Citations
18
H-Index
2
About
Ivan Abramov is a researcher specializing in robotics, geometric modeling, and kinematic mechanism design. His work addresses fundamental challenges in robot trajectory planning and offline programming, with a focus on improving the efficiency and accessibility of industrial automation. Abramov’s most cited paper, “The Issue of Calculating Elliptic Trajectories” (2014, 12 citations), introduces a novel method for designing elliptic paths in kinematic mechanisms, overcoming limitations of classical approaches. While his method reveals constraints related to scaling and rotation, it advances geometric modeling for practical applications. His second notable work, “Offline Programming of Robot Model with Virtual Environment Support” (2018, 6 citations), explores virtual robot technology to enable programming without production stoppages, maximizing return on investment in robotic workplaces. Though his citation counts are modest, Abramov’s contributions are significant for researchers and engineers seeking cost-effective, flexible solutions in robotics and automation. His work bridges theory and practice, offering insights into trajectory calculation and simulation-based programming that support the next generation of intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1The Issue of Calculating Elliptic Trajectories12 citations · 2014
- 2Offline programming of robot model with virtual environment support6 citations · 2018