A Sampling-Based Algorithm with the Metropolis Acceptance Criterion for Robot Motion Planning.
Yiyang LiuYang ZhaoShuaihua YanChunhe SongFei LiPublished in: Sensors (2022)
Keyphrases
- computational complexity
- learning algorithm
- experimental evaluation
- simulated annealing
- times faster
- cost function
- detection algorithm
- worst case
- convergence rate
- expectation maximization
- high accuracy
- np hard
- search space
- optimal solution
- computationally efficient
- improved algorithm
- recognition algorithm
- similarity measure
- objective function
- matching algorithm
- k means
- computational cost
- dynamic programming
- input data
- bayesian framework
- significant improvement
- data sets
- optimality criterion