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:
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