V. A. Zozulya
Papers
3
Total Citations
14
H-Index
2
About
V. A. Zozulya is a researcher specializing in the optimal control and dynamics of robotic systems, with a particular focus on multi-agent coordination and sensor integration. Their major contributions lie in developing robust control methods for autonomous mobile groups, specifically leader-follower architectures. In their most cited work, "Optimal Robust Control of a Robots Group" (2019, 8 citations), Zozulya introduced a novel on-board system design method for synthesizing optimal multivariable control, enabling a leader and its agents to operate cohesively under uncertainty. This work is complemented by studies on random effects in leader-following robots (2017, 2 citations), further advancing robust control theory. Additionally, Zozulya has made notable strides in micro-mechanical sensing, as seen in their 2015 paper on 3D MEMS sensors for robot-hexapods (4 citations), where they pioneered structural identification techniques to estimate transfer function matrices and noise spectral densities, enabling precise angular motion control. With a cumulative citation count of 14, Zozulya’s research bridges theoretical control synthesis and practical sensor dynamics, offering valuable insights for students and engineers working on autonomous multi-robot systems and bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
- 1Optimal Robust Control of a Robots Group8 citations · 2019
- 2
- 3Optimal control of leader-following robots under random effects2 citations · 2017