Arash Farnam

Sahand University of Technology, University College Ghent

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About

Arash Farnam is a robotics researcher whose work bridges the critical gap between theoretical control systems and real-world robotic dexterity. His primary research areas center on networked control systems, model predictive control, and the dynamic manipulation of objects, with a particular focus on wheeled mobile robots and high-speed robotic arms. Farnam’s foundational contribution, "Networked control of Wheeled Mobile Robots" (2013, 3 citations), established a robust framework for synthesizing static state-feedback controllers that account for the inherent challenges of wireless communication, including variable delays and data packet dropout. This work provides a vital foundation for reliable remote robot operation. More recently, his 2025 paper "Real-Time Trajectory Adaptation for Tossing Robots Using Soft Switching Multiple Model Predictive Control" (2 citations) tackles the complex problem of enabling robotic arms to dynamically adjust toss trajectories when target locations shift mid-operation. This achievement is particularly notable for its focus on high-speed, continuous tasks requiring precise, on-the-fly adjustments. Farnam’s research is essential for advancing autonomous systems in logistics, manufacturing, and service robotics, where adaptability and real-time control are paramount.