Fusheng Ni

Papers

Total Citations

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About

Fusheng Ni is a robotics researcher specializing in intelligent control, path planning, and adaptive learning for autonomous systems operating in uncertain environments. His work bridges the gap between classical robotics programming and modern reinforcement learning, with a particular focus on welding automation and mobile robot navigation. Ni’s most cited paper, “An algorithm for the welding torch weaving control of arc welding robot” (2015, 5 citations), addresses the limitations of traditional teaching-learning methods for six-degree-of-freedom robots, proposing a coordinate transformation-based approach to reduce the number of required teaching points for complex weaving tasks. He further advanced robot autonomy through “Tabu Temporal Difference Learning for Robot Path Planning in Uncertain Environments” (2018, 5 citations), integrating tabu search with temporal difference learning to enable robust navigation under stochastic conditions. His 2019 work, “Multiobjective model-free learning for robot pathfinding with environmental disturbances” (3 citations), tackles the challenge of underwater robot movement disrupted by ocean currents, offering a risk-aware, model-free solution. Though his citation counts are modest, Ni’s contributions are notable for their practical focus on real-world robotic challenges—from industrial welding to marine exploration—demonstrating a commitment to developing algorithms that function reliably despite environmental unpredictability.