Sergio Barrios-dV
Papers
1
Total Citations
7
H-Index
1
About
Sergio Barrios-dV is a robotics researcher focused on autonomous navigation and embedded control systems for mobile robots operating in challenging environments. His primary research areas include path planning, trajectory tracking, and neural control architectures for rough-terrain locomotion. Barrios-dV's most notable contribution is the development of an autonomous path controller implemented on a system-on-chip for the BlueBotics Shrimp III®, an articulate mobile robot designed for rugged terrain. This work integrates a decentralized neural inverse optimal controller with an inverse kinematic model and a path-planning algorithm, enabling precise and adaptive navigation without relying on centralized processing. His 2020 paper on this topic has garnered 7 citations, reflecting its relevance to researchers working on embedded intelligence for field robotics. Barrios-dV's approach demonstrates how neural control can be efficiently deployed on resource-constrained hardware, bridging the gap between theoretical control methods and practical robotic applications. His work is particularly valuable for students and engineers interested in autonomous systems, embedded control, and bio-inspired robotics, offering a concrete example of how to implement sophisticated navigation algorithms in real-world, low-power platforms.
Research Focus
Key Achievements
Top Papers
- 1An Autonomous Path Controller in a System on Chip for Shrimp Robot7 citations · 2020