Andre Matos
Papers
1
Total Citations
3
H-Index
1
About
Andre Matos is a robotics researcher whose work centers on the design and control of dexterous manipulation systems, with a particular focus on adaptive grippers and force-sensitive grasping. His most cited paper, "Three-Fingered Gripper for Multiform Object Grasping with Force Feedback Sensing Control" (2020), introduces an innovative electric gripper built from rapid prototyping materials and integrated with Force Sensing Resistor (FSR) technology. This contribution addresses a critical challenge in robotics: enabling reliable, adaptive grasping of objects with varying shapes and textures. By combining low-cost fabrication with real-time force feedback control, Matos’s design improves both the versatility and safety of robotic hands, making it relevant for applications in industrial automation, prosthetics, and human-robot interaction. Though his citation count is still growing, his work demonstrates a clear commitment to bridging the gap between theoretical control strategies and practical, accessible hardware. Matos’s research is particularly valuable for students and engineers seeking to develop affordable, sensor-rich end-effectors that can handle the unpredictability of real-world environments.
Research Focus
Key Achievements
Top Papers
- 1