Pierluigi Pisu
Papers
6
Total Citations
178
H-Index
5
About
Pierluigi Pisu is a control systems and robotics researcher whose work spans fault detection and diagnosis, autonomous vehicles, and mobile robotics. He is perhaps best known for his foundational contributions to model-based fault detection in robot manipulators, employing second-order sliding mode observers to detect, isolate, and identify actuator and sensor faults with remarkable precision. His 2008 paper on this topic has garnered 116 citations, establishing it as a seminal reference in the field and cementing his reputation as a leading voice in robust fault detection methodologies. Pisu extended this framework further by integrating vision-based techniques, leveraging camera data to enhance fault isolation in robotic systems — a compelling fusion of perception and control theory. Beyond robotics, his research has evolved to address the challenges of autonomous transportation: his work on voice and gesture interfaces for self-driving vehicles reflects a forward-thinking engagement with human-machine interaction, while his investigations into SLAM-based navigation for manufacturing environments demonstrate a commitment to real-world autonomous system deployment. Across these diverse domains, Pisu's contributions reflect a consistent drive to make intelligent systems more reliable, intuitive, and ready for industrial application.
Research Focus
Key Achievements
Top Papers
- 1Fault Detection for Robot Manipulators via Second-Order Sliding Modes116 citations · 2008
- 2
- 3VoGe: A Voice and Gesture System for Interacting with Autonomous Cars15 citations · 2017
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