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About

Torry Kho is a researcher specializing in embedded systems, robotics, and field-programmable gate array (FPGA) hardware implementation, with a particular focus on autonomous navigation and real-time robot tracking systems. Working primarily in 2016, Kho has made meaningful contributions to the field of intelligent robotics by exploring how FPGA architectures can enhance the computational performance of both ground-based and aerial autonomous systems. Among Kho's most notable contributions is a body of work examining FPGA-accelerated auto-navigation for mobile robots, addressing critical challenges such as obstacle detection and localization — fundamental problems in achieving true robot autonomy. Extending this work to more complex domains, Kho also investigated autonomous navigation for flying robots, tackling the significantly greater computational demands that aerial platforms present compared to their ground-based counterparts. Additionally, Kho contributed to active robot tracking systems, exploring applications in security and military contexts. With a combined citation count across these works, Kho's research reflects an early and dedicated engagement with hardware-optimized robotics solutions. These contributions serve as a useful reference for students and engineers exploring FPGA-based approaches to embedded intelligence in autonomous robotic platforms.