GA-Based Search for Paths with Minimum Energy Consumption for Mobile Robot Systems

Gemeinder, Marcus; Gerke, Michael

doi:10.1007/3-540-45493-4_60

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…Fernandez et al proposed a path planning algorithm for mobile robot navigation with the use of a multicriteria path planar in 1999 [13]. In 2001, Gemeinder and Gerke proposed a genetic-algorithm-(GA-) based robot path planning algorithm [14]. Wang et al developed a path planning algorithm in 2008 which also considers the lifetime of a mobile robot [15].…”

Section: Journal Of Roboticsmentioning

confidence: 99%

Minimum Energy Demand Locomotion on Space Station

Chung

2013

Journal of Robotics

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The energy of a space station is a precious resource, and the minimization of energy consumption of a space manipulator is crucial to maintain its normal functionalities. This paper first presents novel gaits for space manipulators by equipping a new gripping mechanism. With the use of wheels locomotion, lower energy demand gaits can be achieved. With the use of the proposed gaits, we further develop a global path planning algorithm for space manipulators which can plan a moving path on a space station with a minimum total energy demand. Different from existing approaches, we emphasize both the use of the proposed low energy demand gaits and the gaits composition during the path planning process. To evaluate the performance of the proposed gaits and path planning algorithm, numerous simulations are performed. Results show that the energy demand of both the proposed gaits and the resultant moving path is also minimum.

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Section: Journal Of Roboticsmentioning

confidence: 99%