Composite Local Path Planning for Multi-Robot Obstacle Avoidance and Formation Navigation

سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 404

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شناسه ملی سند علمی:

JR_ACSIJ-4-5_010

تاریخ نمایه سازی: 7 آذر 1394

چکیده مقاله:

This paper proposes a composite local path planning method for multi-robot formation navigation with path deviation prevention using a repulsive function, A-star algorithm, and unscentedKalman filter (UKF). The repulsive function in the potential field method is used to avoid collisions among robots and obstacles.The A-star algorithm helps the robots to find an optimal local path. In addition, error estimation based on UKF guaranteessmall path deviation of each robot during navigation. Theproposed method of composite local path planning is verified by the simulation results of the collective robot navigation becausethe system maintains a designated formation and performs a successful return to the assigned formation with effective obstacle avoidance under various experimental conditions

کلیدواژه ها:

Collision-free ، Composite local path planning ، Path deviation prevention ، Path re-planning

نویسندگان

Sung-Gil Wee

Wellness Convergence Research Center, DGIST Daegu, ۷۱۱-۸۷۳, South Korea

yoon-gu kim

Wellness Convergence Research Center, DGIST Daegu, ۷۱۱-۸۷۳, South Korea

jinung an

Wellness Convergence Research Center, DGIST Daegu, ۷۱۱-۸۷۳, South Korea

Dong-Ha Lee

Wellness Convergence Research Center, DGIST Daegu, ۷۱۱-۸۷۳, South Korea