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Created with Raphaël 2.2.09Sep28Aug2112820Jun1611May9876542130Apr2827262524221914131231MarTurtlebot experiment rendering PaSOGM and SensorOGMturtlebotturtlebotinitlidarlidardynamic plots from previously commited comparison codesim to real comparison and plots on pose, orientation and velocityGetting ready for check dynamic error with a static human. Conversion to unicycle need to be modified.Turtlebot record haven't testedsim turtle recordLast pushgrid_predgrid_predUpdated PaS matching and VisualizationFixed the label grid sequence. m_train works tooFinal code for experiment until scene3. Scaled action v and w.Separated encode and decode. m_train modifiedprecision recall'precision recall'working in vae pretrainprecision recall (maybe have bug)first time data savedMerge branch 'grid_pred' of gitlab.engr.illinois.edu:yejimun2/cs498-project into grid_predfor pullchanged the loss function to sum MSElabel grid input fixed. Visualization of ae_trainunicycle action constrained using sigmoidmastermasterincreased angular velocity for unicycle. Clipping the actionFixed the turtlebot angle and unicycle model output linear acceleration instead of linear velocityaction not clipped but multiplied with v_pref for smoother learningcomment bugged visUnicycle v_pref=1changed the unicycle v_pref clip param to match with that of Shuijing turtlebot settingUnicycle dynamic training with linear v and rotation angle r as the inputFixed sensor grid and robot theta. Collision Avoidance works but cannot reach goal.fix the bug validation loss.item()Real time plot. Fixed theta. Reach goal but dummy human slightly offpas.future_sequence in config.pyconvLSTM AutoencoderTurtlebot moves. Fixed minor errors. Added basic_navigation.txt fileadd changelogsave time on preparing the dataAdded rosTurtlebot2iEnvWorking on editing m_train. Need to modify the dataloaderMinor changes