Raúl Calderón-Sesmero

Papers

Total Citations

H-Index

About

Raúl Calderón-Sesmero is a rising leader in the field of human–robot interaction, with a focused expertise in mixed reality interfaces for collaborative robotics. His work addresses a critical industrial challenge: making cobot programming accessible, safe, and adaptable. His most cited paper, "Development of a Human–Robot Interface for Cobot Trajectory Planning Using Mixed Reality" (2024, 9 citations), introduces a novel interface that allows operators to plan robot trajectories intuitively through augmented environments, bypassing traditional, rigid programming methods. Building on this, his 2025 study on "Human–Robot Interaction and Tracking System Based on Mixed Reality Disassembly Tasks" (5 citations) extends the framework to high-precision disassembly operations, demonstrating how real-time tracking and adaptive planning can enhance safety and efficiency in complex industrial workflows. Though early in his career, Calderón-Sesmero’s contributions are already shaping the next generation of human-centric automation. His work stands out for bridging the gap between theoretical mixed reality systems and practical, safety-critical applications, offering a compelling vision for how humans and robots can collaborate seamlessly in dynamic environments.