Daniel Figurowski

West Pomeranian University of Technology

Papers

Total Citations

H-Index

About

Daniel Figurowski is a robotics researcher specializing in mobile robot navigation, path planning, and control systems. His primary contributions lie in developing intelligent optimization algorithms and hybrid modeling approaches for autonomous robot movement in complex environments. His most cited work, "Mobile Robot Path Planning with Obstacle Avoidance using Particle Swarm Optimization" (2017, 11 citations), introduces a constrained PSO algorithm that generates smooth, collision-free paths via cubic spline interpolation, addressing both static and dynamic environments. This foundational research demonstrates how swarm intelligence can efficiently solve real-time navigation challenges. Figurowski further advanced the field with his 2018 paper on hybrid path planning, which integrates a semantic layer, world topology, and metrical data into a hierarchical environmental model, enabling more context-aware robot decision-making. His 2016 work on a laboratory station for visual feedback control systems provides a practical platform for testing and validating these algorithms. While his citation counts reflect an emerging career, Figurowski’s research bridges theoretical optimization with applied robotics, offering scalable solutions for autonomous systems. His work is particularly relevant for students and researchers exploring bio-inspired algorithms and multi-layered environmental reasoning in mobile robotics.