Vinicius B. Bastos

Universidade Estadual de Campinas (UNICAMP)

Papers

Total Citations

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About

Vinicius B. Bastos is a robotics researcher specializing in visual simultaneous localization and mapping (vSLAM), visual odometry, and image-based navigation for mobile robots. His major contributions center on developing cost-effective, virtual testing frameworks for autonomous navigation algorithms, bridging the gap between simulation and real-world deployment. His most-cited work, "vSlam experiments in a custom simulated environment" (2015, 6 citations), introduced a novel method combining MATLAB and Blender to create synthetic camera paths for vSLAM experiments—a practical solution for researchers lacking physical resources or needing proof-of-concept validation. He further advanced this approach in "Virtual 3D Environments For Image-Based Navigation Algorithms" (2017, 2 citations), demonstrating how virtual environments can robustly test mobile robot navigation algorithms. Notably, his 2018 paper on monocular visual odometry for a robotic wheelchair in a virtual environment (2 citations) integrated a dynamic wheelchair model with visual odometry techniques originally designed for outdoor datasets, adapting them for indoor assistive robotics. Bastos’s work is particularly impactful for researchers seeking accessible, low-cost methods to prototype and validate navigation algorithms before physical implementation, making him a key contributor to simulation-based robotics research.