Chen Rongbao

Papers

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About

Chen Rongbao has made foundational contributions to the field of mobile robot path planning, with a particular focus on overcoming the limitations of the Artificial Potential Field (APF) method. His most impactful work, "Research of Escaping Local Minima Strategy for Artificial Potential Field" (2007, 12 citations), directly addresses a critical bottleneck in APF-based navigation: the tendency for robots to become trapped in local minima or oscillate in cluttered environments. By proposing novel strategies to escape these pitfalls, Rongbao enhanced the practical reliability of APF, a method valued for its simplicity and computational efficiency. Building on this, his 2008 paper on "Robot rolling path planning with the optimization target of expected direction angle" introduced a predictive control-based rolling planning approach. This work cleverly integrates global and local planning by using the polar direction angle as an optimization target, offering a feedback-driven strategy to balance long-range goals with real-time obstacle avoidance. While his citation counts reflect a focused, niche impact, these contributions are significant for researchers and engineers seeking robust, low-cost navigation solutions. Rongbao’s work remains a valuable reference for those tackling the persistent challenge of local minima in autonomous robotics.