GitHub - TomasSQ/vrepSimulation: NAO robot walking in a VREP Simulation with Genetic Algorithm

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NAO robot walking in a VREP Simulation with Genetic Algorithm

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Name		Name	Last commit message	Last commit date
Latest commit History 88 Commits
Report		Report
algoritmos_geneticos_scripts		algoritmos_geneticos_scripts
polyfit		polyfit
redes_neurais_scripts		redes_neurais_scripts
video		video
.gitignore		.gitignore
complexCommandTest.py		complexCommandTest.py
data.txt		data.txt
ga.py		ga.py
head_training_data.txt		head_training_data.txt
head_training_data2.txt		head_training_data2.txt
head_verification_training_data2.txt		head_verification_training_data2.txt
manage_joints.py		manage_joints.py
manage_joints.pyc		manage_joints.pyc
model.pkl		model.pkl
model_1_training_data_1_100_hidden_30_epochs.pkl		model_1_training_data_1_100_hidden_30_epochs.pkl
model_1_training_data_1_1_hidden_10_epochs_without_i.pkl		model_1_training_data_1_1_hidden_10_epochs_without_i.pkl
model_1_training_data_1_1_hidden_30_epochs.pkl		model_1_training_data_1_1_hidden_30_epochs.pkl
model_1_training_data_1_2999_sample_01_random.txt_10_hidden_600_epochs_without_i.pkl		model_1_training_data_1_2999_sample_01_random.txt_10_hidden_600_epochs_without_i.pkl
model_1_training_data_1_2999_sample_01_random.txt_3_hidden_600_epochs_without_i.pkl		model_1_training_data_1_2999_sample_01_random.txt_3_hidden_600_epochs_without_i.pkl
model_1_training_data_1_2999_sample_01_random.txt_3_hidden_600_epochs_without_i_recurrent.pkl		model_1_training_data_1_2999_sample_01_random.txt_3_hidden_600_epochs_without_i_recurrent.pkl
model_1_training_data_1_3_hidden_50_epochs.pkl		model_1_training_data_1_3_hidden_50_epochs.pkl
model_1_training_data_1_500_sample_01_random.txt_3_hidden_600_epochs_without_i.pkl		model_1_training_data_1_500_sample_01_random.txt_3_hidden_600_epochs_without_i.pkl
model_1_training_data_1_50_hidden_200_epochs_without_i.pkl		model_1_training_data_1_50_hidden_200_epochs_without_i.pkl
model_1_training_data_1_50_hidden_200_epochs_without_i_neurolab.pkl		model_1_training_data_1_50_hidden_200_epochs_without_i_neurolab.pkl
model_2.pkl		model_2.pkl
model_3.pkl		model_3.pkl
model_4_3_hidden_50_epochs.pkl		model_4_3_hidden_50_epochs.pkl
obtain_training_data.py		obtain_training_data.py
obtain_training_data_2.py		obtain_training_data_2.py
pathPlanningTest.py		pathPlanningTest.py
plot.py		plot.py
readMe.txt		readMe.txt
remoteApi.so		remoteApi.so
simpleSynchronousTest.py		simpleSynchronousTest.py
simpleTest.py		simpleTest.py
start_moviment_ga.txt		start_moviment_ga.txt
teste.py		teste.py
teste.txt		teste.txt
teste_com_algoritmos_geneticos.py		teste_com_algoritmos_geneticos.py
teste_com_arquivo_de_entrada.py		teste_com_arquivo_de_entrada.py
teste_com_ga_2pontos.py		teste_com_ga_2pontos.py
teste_com_rede_neural.py		teste_com_rede_neural.py
teste_com_rede_neural_neurolab.py		teste_com_rede_neural_neurolab.py
teste_ga_2pontos_runner.py		teste_ga_2pontos_runner.py
teste_ga_simples.py		teste_ga_simples.py
training_data.txt		training_data.txt
training_data2.txt		training_data2.txt
training_data_1_2999_sample_0.1s.txt		training_data_1_2999_sample_0.1s.txt
training_data_1_2999_sample_01_random.txt		training_data_1_2999_sample_01_random.txt
training_data_1_500_sample_01_random.txt		training_data_1_500_sample_01_random.txt
training_data_1_9999_sample_0.1s.txt		training_data_1_9999_sample_0.1s.txt
training_data_only_first_moves.txt		training_data_only_first_moves.txt
training_network.py		training_network.py
training_network_2.py		training_network_2.py
verification_training_data.txt		verification_training_data.txt
verification_training_data2.txt		verification_training_data2.txt
verifing_data_1_2999_sample_0.1s.txt		verifing_data_1_2999_sample_0.1s.txt
verifing_data_1_2999_sample_01_random.txt		verifing_data_1_2999_sample_01_random.txt
verifing_data_1_500_sample_01_random.txt		verifing_data_1_500_sample_01_random.txt
verifing_data_1_9999_sample_0.1s.txt		verifing_data_1_9999_sample_0.1s.txt
vrep.py		vrep.py
vrep.pyc		vrep.pyc
vrepConst.py		vrepConst.py
vrepConst.pyc		vrepConst.pyc

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Make sure you have following files in your directory, in order to run the various examples:

1. vrep.py
2. vrepConst.py
3. the appropriate remote API library: "remoteApi.dll" (Windows), "remoteApi.dylib" (Mac) or "remoteApi.so" (Linux)
4. simpleTest.py (or any other example file)