Seyed Borna Ehsani

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About

Seyed Borna Ehsani is a rising researcher at the intersection of robotics, computer architecture, and hardware-software co-design. His work focuses on enabling efficient, real-time autonomous navigation for mobile robots through novel algorithmic and hardware innovations. Ehsani’s most impactful contribution is the RACOD framework (2022, 19 citations), which tackles the computational bottleneck of path planning. RACOD introduces two key components: CODAcc, a MapReduce-style hardware accelerator that dramatically speeds up collision detection, and RASExp, a runahead algorithm extension that allows the robot to explore multiple paths in parallel. This co-design approach achieves orders-of-magnitude energy efficiency improvements over conventional CPU/GPU implementations, making it highly relevant for resource-constrained robots. Ehsani’s work bridges the gap between robotics algorithms and custom hardware, demonstrating how domain-specific accelerators can unlock new capabilities in autonomous systems. His research has been recognized for its potential to enable faster, safer, and more power-efficient robots in applications ranging from warehouse automation to search-and-rescue.