Alan G. Lopez-Segovia
Papers
2
Total Citations
5
H-Index
2
About
Alan G. Lopez-Segovia is a control systems researcher whose work focuses on advancing the stability and performance of bilateral teleoperation systems—technologies that allow a human operator to remotely control a robotic arm while receiving force feedback. His primary research areas include nonlinear control, sliding mode control, and impedance-based strategies for teleoperators operating under time delays and parametric uncertainty. In his most-cited work, "Passive impedance-based second-order sliding mode control for non-linear teleoperators" (2017, 3 citations), Lopez-Segovia introduced a novel control framework that combines passive impedance properties with second-order sliding mode techniques to ensure robust stability and transparency in multi-degree-of-freedom teleoperation systems, even under constant communication delays. His earlier paper, "Impedance-based sliding mode control for nonlinear teleoperators under constant time delay" (2016, 2 citations), further developed these ideas by addressing the challenges of unknown time delays and system nonlinearities. Though his citation counts are modest, Lopez-Segovia’s contributions are notable for their theoretical rigor and practical relevance to emerging applications in remote surgery, hazardous material handling, and space exploration, where reliable haptic feedback is critical. His work represents a meaningful step toward more resilient and human-friendly robotic interfaces.
Research Focus
Key Achievements
Top Papers
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