Benigno Maqueira
Papers
2
Total Citations
58
H-Index
2
About
Benigno Maqueira is a pioneering researcher in the field of robotic sensing and automation, with a particular focus on ultrasonic-based seam tracking systems for industrial welding applications. His most notable contributions, both published in 1989, center on the development and implementation of intelligent robotic guidance systems that leverage acoustic sensor technology to achieve precise, real-time joint tracking without relying on pre-programmed workpiece models or manual teaching routines. Maqueira's landmark work introduced an innovative ultrasonic sensing approach using airborne transducers — operating at 100 kHz — capable of measuring joint orientation and lateral deviation ahead of a welding torch in dynamic manufacturing environments. By interfacing this technology with industrial robots such as the P-50 Process Robot, his systems demonstrated a practical pathway toward fully automated, adaptive welding operations. These contributions collectively represent a significant step forward in reducing human intervention in complex manufacturing processes. With a combined citation count of approximately 58 across his two most recognized papers, Maqueira's research has influenced subsequent generations of robotics and manufacturing engineers interested in sensor-guided automation and intelligent welding systems, establishing him as an early innovator in the intersection of ultrasonics, robotics, and industrial process control.
Research Focus
Key Achievements
Top Papers
- 1Application of ultrasonic sensors to robotic seam tracking30 citations · 1989
- 2Robotic acoustic seam tracking: system development and application28 citations · 1989
Key Collaborators
Related papers
- Robotic acoustic seam tracking: system development and application
- Application of ultrasonic sensors to robotic seam tracking
- Intelligent seam tracking using ultrasonic sensors forrobotic welding
- Ultrasonic Sensors in Robotic Seam Tracking
- Feature extraction and tracking of a weld joint for adaptive robotic welding
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