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Learning the Problem-Optimum Map: Analysis and Application to Global Optimization in Robotics

Learning the Problem-Optimum Map: Analysis and Application to Global Optimization in Robotics

Kris K. Hauser
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Papers citing "Learning the Problem-Optimum Map: Analysis and Application to Global Optimization in Robotics"

3 / 3 papers shown
Title
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning
Hirokazu Ishida
Naoki Hiraoka
K. Okada
Masayuki Inaba
100
1
0
24 Feb 2025
Efficient Penetration Depth Computation between Rigid Models using Contact Space Propagation Sampling
Efficient Penetration Depth Computation between Rigid Models using Contact Space Propagation Sampling
Liang He
Jia Pan
Danwei Li
Tianyi Zhou
24
7
0
12 Nov 2015
Data-Driven Grasp Synthesis - A Survey
Data-Driven Grasp Synthesis - A Survey
Jeannette Bohg
A. Morales
Tamim Asfour
Danica Kragic
70
1,035
0
10 Sep 2013