Luan Pinto

Papers

Total Citations

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About

Luan Pinto is a robotics researcher specializing in teleoperation and haptic feedback, with a focus on enhancing human-machine interaction in remote and hazardous environments. His work centers on developing force feedback and immersive control systems for heavy machinery and robotic arms. In his most-cited paper, "On the Evaluation of Force Feedback Augmented Teleoperation of Excavator-like Mobile Manipulators" (2020, 8 citations), Pinto investigates how force feedback can assist operators in open-pit mining, enabling them to sense attractive forces and object interactions during excavation tasks. His research on "An Immersion Enhancing Robotic Head-Like Device for Teleoperation" (2018, 4 citations) explores extending human capabilities for remote manipulation in high-risk settings like nuclear facilities and search-and-rescue missions. Additionally, his "Framework for Haptic Teleoperation of a Remote Robotic Arm Device" (2018, 3 citations) provides a structured approach to improving remote equipment control through haptic feedback. Pinto’s contributions are particularly valuable for advancing safety and efficiency in mining, industrial, and disaster-response applications, where precise remote control is critical. His work bridges the gap between human intuition and robotic precision, making teleoperation more intuitive and effective.