Alexey K. Novoselskiy

MIREA - Russian Technological University

Papers

Total Citations

H-Index

About

Alexey K. Novoselskiy is a leading researcher in autonomous robotics, with a focused expertise in behavior planning, task scheduling, and multi-robot coordination. His most influential work, "Hierarchical Scenarios for Behavior Planning in Autonomous Robots" (2019, 6 citations), introduces a novel methodology for the straightforward description and automatic formation of scenarios that guide robots—or entire multi-robot systems—toward successful task completion. This contribution addresses a critical bottleneck in applied robotics: enabling reliable, high-level autonomy without requiring exhaustive manual programming. By structuring behavior planning into hierarchical, reusable scenarios, Novoselskiy’s approach simplifies the transition from abstract mission goals to concrete, executable robot actions. His work is particularly relevant for complex, real-world applications where robots must adapt to dynamic environments and coordinate with teammates. While his citation count reflects a focused, early-career impact, the conceptual clarity and practical utility of his methodology have established him as a rising voice in the field. For students and researchers, Novoselskiy’s research offers a clear, actionable framework for tackling the perennial challenge of autonomous decision-making in robotics.