Pablo Vera Bustamante
Papers
2
Total Citations
12
H-Index
2
About
Pablo Vera Bustamante is a robotics researcher whose work lies at the intersection of humanoid robot control, autonomous localization, and machine learning. His key contributions focus on developing intelligent systems that enable humanoid robots to navigate and interact with their environments with greater autonomy and precision. His most cited work, "Inverse models and robust parametric-step neuro-control of a Humanoid Robot" (2016, 9 citations), introduces a novel approach to robot control by combining inverse modeling with neural networks, allowing for more stable and adaptive locomotion. In his 2015 paper on "3D self-localization for humanoid robots using view regression and odometry" (3 citations), Vera Bustamante addresses the computational challenges of visual SLAM (VSLAM) and relocalization, proposing a method that balances accuracy with reduced hardware demands. This work is particularly relevant for real-time applications where expensive sensors are impractical. Through these contributions, Vera Bustamante advances the field of humanoid robotics, offering scalable solutions that push toward more capable and cost-effective autonomous systems.
Research Focus
Key Achievements
Top Papers
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