Monthly Archives: May 2026

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A review of shared control in robot navigation

Haojie Zhang, Chuankai Liu, Yikang Liu, Qing Li, hared control for autonomous robotic navigation: A review, Robotics and Autonomous Systems, Volume 202, 2026, 10.1016/j.robot.2026.105467.

Robots have been widely deployed in a variety of fields. However, full autonomous or full manual navigation remains difficult to implement in real-world environments due to environmental uncertainty and operational complexity. Shared control has therefore attracted increasing attention as an effective approach to enhance the performance of autonomous robotic navigation. This paper presents a comprehensive review of shared control methods applied to autonomous robotic navigation. First, the principle of shared control is introduced. Then, four representative shared control system frameworks are given in a chronological manner. Subsequently, human–robot interfaces are described, covering both simple parameter-based interfaces and mixed-initiative operational interfaces. The implementation of shared control methods for navigation is discussed in detail. Finally, the main findings and future research directions are summarized. The review indicates that shared control has been developed rapidly and plays a critical role in improving navigation performance in complex environments. It is expected to see broader adoption of shared control methods in real cases.