Yuliya Shutova
Papers
1
Total Citations
8
H-Index
1
About
Yuliya Shutova is a robotics researcher whose work focuses on energy-efficient motion planning for anthropomorphic robot manipulators. Her most-cited paper, "Analysis of the Effectiveness Path Planning Methods and Algorithm for the Anthropomorphic Robot Manipulator" (2019), addresses the critical challenge of high energy consumption in humanoid robotic arms. By developing mathematical methods for optimizing trajectory control, Shutova’s research directly tackles the trade-off between robotic dexterity and power efficiency—a key bottleneck in practical robotics. With 8 citations, this work has influenced subsequent studies in industrial automation and assistive robotics. Her contributions are particularly notable for bridging theoretical path-planning algorithms with real-world energy constraints, offering a foundation for more sustainable robotic systems. Shutova’s ongoing research continues to refine these approaches, aiming to reduce operational costs and extend battery life in autonomous manipulators. For students and researchers, her work exemplifies how targeted algorithmic improvements can solve pressing hardware limitations, making robotics more viable for long-duration tasks in manufacturing, healthcare, and exploration.
Research Focus
Key Achievements
Top Papers
- 1