Ivan Isho Gorial
Papers
1
Total Citations
2
H-Index
1
About
Ivan Isho Gorial is a researcher whose work centers on robotics and intelligent control systems, with a particular focus on path planning for robotic manipulators. His most-cited paper, "Comparative Study between Joint Space and Cartesian Space Path Planning for Two-Link Robot Manipulator using Fuzzy Logic" (2013, 2 citations), makes a notable contribution by systematically comparing two fuzzy logic-based approaches for a 2-DOF robot arm. In this study, Gorial proposes and evaluates separate fuzzy systems for joint space and Cartesian space path planning, demonstrating how fuzzy logic can enhance the efficiency and accuracy of robotic motion. This work is significant for its practical insights into optimizing manipulator trajectories, offering a clear framework for selecting between planning strategies based on task requirements. While his citation count is modest, Gorial’s research provides a foundational comparison that benefits students and engineers exploring intelligent control in robotics. His focus on fuzzy logic applications in path planning highlights a commitment to developing adaptive, real-world solutions for automated systems, making his contributions valuable for those entering the field of robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1