codingblazes / matlab_learning_collision_checking

Code for learning collision checking policies using Bayesian active learning

Learning Collision Checking Policies

Official repository for evaluating collision checking policies that use bayesian active learning techniques

Related Publications

1.Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs (NIPS 2017)

Datasets

The repository containing datasets is graph_collision_checking_dataset

Setup

1. Clone the repository and the datasets folder
2. cd matlab_learning_collision_checking
3. Edit init_setup.m to add the global path to the datasets folder by editing setenv('collision_checking_dataset_folder','/path/to/data')
4. Run install_dependencies.m
5. Run init_setup.m

Executing the algorithms

Run the file src/benchmark_coll_check_policy.m to execute the algorithms in the paper on the datasets