Collision-free path planning for robots using B-splines and simulated annealing

Martínez-Alfaro, H.

doi:10.31274/rtd-180813-9641

Cited by 4 publications

(3 citation statements)

References 169 publications

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“…Once a Markov chain is completed, decrement the temperature, T i+1 = αT i , where T i represents the current temperature and α = 0.9 (Martínez-Alfaro & Flugrad, 1994). The procedure ends when the final temperature or a certain number of Markov chains has been reached.…”

Section: Methodsmentioning

confidence: 99%

Using Simulated Annealing Algorithm to Solve the Optimal Control Problem

Martínez-Alfaro¹

2010

Simulated Annealing, Theory With Applications

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Section: Methodsmentioning

confidence: 99%

Using Simulated Annealing Algorithm to Solve the Optimal Control Problem

Martínez-Alfaro¹

2010

Simulated Annealing, Theory With Applications

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“…H. Martinez-Alfaro uses B-spline and simulated annealing methods to plan collision-free paths for robots [56]. He models objects with minimum surrounding area or volume ellipsoid shape.…”

Section: Other Approachesmentioning

confidence: 99%

Collision-free path planning

Chen

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“…The synthesis of this mechanism will be accomplished by exploiting the features of path generation with prescribed timing and three specific optimization procedures. Mechanical optimization has included optimum synthesis of planar linkage coupler curves specified by position coordinates [6], selective precision synthesis [7], a general method of optimization that utilizes arbitrary limits of accuracy at various positions, and optimization of mechanisms using simulated annealing [8,9]. Optimization, it has been pointed out [10], is finally reaching wide recognition as evidenced by significant application in industry.…”

Section: Illmentioning

confidence: 99%

Optimal synthesis of a planar four-bar mechanism with prescribed timing using generalized reduced gradient, simulated annealing and genetic algorithms

Starns

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1 would like to thank Mr. James D. Wong for his assistance in the fabrication of the models used for my defense presentation. I am, however, more gratefiil for the blessing of his and Cheryl's friendship. My gratitude also goes to professors Raj Dahiya, Jim Hoekstra, Patrick Kavanagh, Ken McConnell, and Thomas Rudolphi. Their gifts as teachers have been immense. Finally, I would like to thank my major professor. Dr. Donald R. Flugrad for his contributions to my personal and professional growth. His mentorship has been one of patience, enthusiasm, and fiiendship. I am a better person for having known him.

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Collision-free path planning for robots using B-splines and simulated annealing

Cited by 4 publications

References 169 publications

Using Simulated Annealing Algorithm to Solve the Optimal Control Problem

Using Simulated Annealing Algorithm to Solve the Optimal Control Problem

Collision-free path planning

Optimal synthesis of a planar four-bar mechanism with prescribed timing using generalized reduced gradient, simulated annealing and genetic algorithms

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