Tianji Ma

Chengdu University of Information Technology

Papers

Total Citations

H-Index

About

Tianji Ma is a researcher specializing in autonomous robotics, with a particular focus on visual simultaneous localization and mapping (SLAM) technology. His work addresses one of the most challenging problems in robotic navigation: enabling robots to autonomously determine their position while constructing maps of unknown environments in real time. Ma's key contributions center on the implementation of visual SLAM algorithms on embedded graphics processing units (GPUs), a critical advancement for making autonomous navigation systems more compact, energy-efficient, and suitable for real-world applications like service robots and drones. His most cited paper, "Research on the Application of Visual SLAM in Embedded GPU" (2021), has garnered 10 citations, reflecting its relevance to the growing field of edge computing in robotics. By demonstrating how to offload computationally intensive SLAM tasks to embedded GPUs, Ma has helped bridge the gap between high-performance algorithms and resource-constrained hardware. His work is particularly valuable for researchers and engineers seeking to deploy robust autonomous navigation in cost-sensitive, low-power platforms.