sampling-based algorithms random geometric graphs 摘要 During the last decade, sampling-based path planning algorithms, such as probabilistic roadmaps (PRM) and rapidly exploring random trees (RRT), have been shown to work well in practice and possess theoretical guarantees such as probabilistic comple...
Generalized Sampling-Based Feedback Motion Planners one of the primary objective of this work is to generalize PRM/RRT to solve motion planning with uncertainty.We first present generalizations of randomized sampling based algorithms PRM and RRT, to incorporate the process uncertainty, and... Kumar,...
Basic Sampling Algorithms Standard distributions Rejection sampling Adaptive rejection sampling Expectations Importance sampling Sampling-importance-resampling Markov Chain Monte Carlo Markov chains The Metropolis–Hastings algorithm Gibbs sampling Ancestral sampling Langevin Sampling Energy-based models Maximizing the ...
16.410/413PrinciplesofAutonomyandDecisionMakingLecture15:Sampling-BasedAlgorithmsforMotionPlanningEmilioFrazzoliAeronauticsandAstronauticsM..
During the last decade, sampling-based path planning algorithms, such as probabilistic roadmaps (PRM) and rapidly exploring random trees (RRT), have been shown to work well in practice and possess ...关键词: Motion planning optimal path planning random geometric graphs sampling-based alg...
Submodular approximation: Sampling-based algorithms and lower bounds We introduce several generalizations of classical computer science problems obtained by replacing simpler objective functions with general submodular funct... Svitkina, Z.,Fleischer, L. - 《Siam Journal on Computing》 被引量: 0发表: ...
By exploiting the artificial sequential structure of the existing simple BLAST detection method based on ing and cancellation, the proposed algorithms achieve an error probability performance that is orders of magnitude better than the traditional BLAST detection schemes while maintaining a low computational...
By recognizing that a set of samples describes an implicit random geometric graph (RGG), we are able to combine the efficient ordered nature of graph-based techniques, such as A*, with the anytime scalability of sampling-based algorithms, such as Rapidly-exploring Random Trees (RRT). BIT* ...
Thermodynamic Analytics Toolkit is a sampling-based approach to understand the effectiveness of neural networks training and investigate their loss manifolds. It uses Tensorflow (https://www.tensorflow.org/) as neural network framework and implements advanced sampling algorithms on top of it. It contain...
摘要: Despite the proven advantages of sampling-based motion planning algorithms, their inability to handle online navigation tasks and providing low-cost solutions make them less efficient in practice. In关键词: ANFIS Fuzzy controller Sampling-based motion planning Tabu search ...