Jorge Estrela da Silva

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About

Jorge Estrela da Silva is a robotics researcher whose work focuses on the intersection of visual servoing, control theory, and human-robot collaboration for industrial and assembly applications. His key contributions lie in developing robust frameworks that allow mobile manipulators to perform precise pick-and-place tasks under real-world constraints. In his most cited work, "Robust visual servoing under human supervision for assembly tasks" (2025, 3 citations), da Silva proposes a novel approach that integrates eye-in-hand visual servoing with Control Barrier Functions (CBFs). This method ensures reliable tracking of fiducial markers on construction blocks, enabling the assembly of complex structures while guaranteeing safety and robustness even under human supervision. By combining real-time visual feedback with formal safety guarantees, his research addresses critical challenges in deploying autonomous robots in shared workspaces. Though early in its citation impact, this work represents a significant step toward practical, human-guided robotic assembly systems. Da Silva’s contributions are particularly relevant for students and researchers interested in vision-based control, safe human-robot interaction, and the application of CBFs to real-world manipulation tasks.