Javier Felix-Rendon

Tecnológico de Monterrey, Intel (United States)

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About

Javier Felix-Rendon is a robotics researcher focused on the intersection of autonomous navigation, physical interaction, and digital twinning. His work centers on two key areas: the control of mobile robots for manipulating deformable objects, and the creation of high-fidelity spatial models for the metaverse. In his 2021 paper on "Control of differential-drive mobile robots for soft object deformation" (10 citations), he developed novel control strategies enabling robots to interact with and reshape soft materials—a critical capability for applications in manufacturing and healthcare. More recently, his 2023 work on "Robot-Based Uniform-Coverage and High-Resolution LIDAR Mapping for Physically-Grounded Metaverse Applications" (7 citations) addresses the fundamental challenge of bridging the physical and digital worlds. By designing robots that autonomously capture dense, uniform LIDAR scans, Felix-Rendon enables the creation of accurate, real-time digital twins for extended reality (XR), automation, and space-time analytics. His contributions are paving the way for physically-grounded metaverse applications where robots serve as the sensory and actuation bridge between reality and its digital counterpart, with potential impacts on remote assistance, virtual training, and autonomous systems.