Feng-Cheng Fu

Papers

Total Citations

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About

Feng-Cheng Fu is a leading researcher in agricultural robotics and intelligent vehicle control, with a primary focus on enhancing the precision and autonomy of mobile machinery in complex field environments. His most cited work, "Path Tracking of a 4WIS–4WID Agricultural Machinery Based on Variable Look-Ahead Distance" (2022, 28 citations), addresses a critical challenge in precision agriculture: the low path-tracking accuracy of robots navigating uneven terrain. Fu pioneered a novel control method that dynamically adjusts the look-ahead distance in a kinematic model for four-wheel independent steering and four-wheel independent driving (4WIS-4WID) systems. This contribution significantly improves the stability and accuracy of agricultural machinery during autonomous navigation, reducing drift and enabling more efficient crop management. By integrating adaptive control strategies with vehicle dynamics, Fu’s research bridges the gap between theoretical robotics and practical farming applications. His work has been recognized for its potential to reduce labor costs and increase yield through precise, automated field operations, making him a key figure in the advancement of smart agriculture technologies.