Arash Shahirpour
Papers
2
Total Citations
10
H-Index
2
About
Arash Shahirpour is a researcher specializing in human-robot interaction and cooperative control for large-scale vehicle-manipulator systems. His work focuses on developing shared-control frameworks that reduce operator cognitive and physical load in complex, unstructured environments. In his 2020 paper "Validation of Cooperative Shared-Control Concepts for Large Vehicle-Manipulators" (5 citations), he experimentally validated and compared shared-control strategies for hydraulic robotic arms mounted on vehicles, demonstrating how automation can ease the psychological and physiological burden on human operators. His companion paper "Limited-Information Cooperative Shared Control for Vehicle-Manipulators" (5 citations) introduces a novel cooperative control algorithm that operates effectively even with limited environmental information—a critical advance for real-world deployment in unstructured settings where full automation remains impractical. Though early in his career, Shahirpour’s contributions address a fundamental challenge in field robotics: enabling safe, efficient human-machine collaboration for heavy machinery. His work is particularly relevant for applications in construction, mining, and disaster response, where large vehicle-manipulators must operate reliably under human supervision.
Research Focus
Key Achievements
Top Papers
- 1
- 2Limited-Information Cooperative Shared Control for Vehicle-Manipulators5 citations · 2020