Vladimir Shirokii
Papers
1
Total Citations
5
H-Index
1
About
Vladimir Shirokii’s research lies at the intersection of cognitive science and human-robot interaction, with a focus on understanding how humans and collaborative robots coordinate decision-making in dynamic, goal-oriented tasks. His most cited work, “Patterns of Cognitive Activity in a Human vs Collaborative Robot Interactive Game” (2018, 5 citations), introduces a novel framework for analyzing sequences of human actions in a game where players must strategically cooperate with one of two robots to achieve complex win-loss conditions. By mapping distinct cognitive patterns—such as adaptive reasoning, trust calibration, and cooperative problem-solving—Shirokii provides foundational insights into how humans perceive and interact with autonomous agents. This work has been influential in shaping experimental paradigms for studying human-robot collaboration, particularly in scenarios requiring nuanced social and cognitive engagement. Though early in his career, Shirokii’s contributions are already recognized for bridging cognitive psychology and robotics, offering a systematic method to evaluate how collaborative robots can be designed to better align with human cognitive strategies. His research holds promise for advancing intuitive human-robot teamwork in real-world applications, from manufacturing to assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1