Index Decreased speed discretisation Fixed RLidar Example and data analysis Decreased speed discretisation The agent accelerates by increasing its speed by 0.1. This implies that if we d...

Index Fixing RLidar Created test for inference phase Random starting positions Example and data analysis Fixing RLidar For the functioning of RLidar SMARTS generates a series of rays t...

Index Integrating RLidar enhancement into SMARTS Adding linear velocity as a state Exponential drop in training speed Random starting positions Example and data analysis Integrating R...

Index Fixed episodes crash Exponential drop in training speed Velocity is needed in the q-table states Fixed episodes crash When a scenario is modified SMARTS compiles it and creates the...

Index Data based on orientation Testing q-learning Crash 150 eps Data based on orientation The laser always takes its measurements from an absolute orientation, so we cannot rely on the ...

Index LearningAgent Class ParkingAgent Class LearningAgent Class The LearningAgent class implements a Q-learning agent optimized for parking tasks using LiDAR and fixed angular velocity. T...

Index Building scenario Getting started with Q-Learning Building scenario By modifying the scenario I have not been able to figure out how to add static agents. The only ways I have manage...

Index Searching Chassis Using RLidar Searching Chassis SMARTS uses in all its examples a chassis called BoxChassis, which I didn’t think much of at first. Investigating the guts I found th...

Index Testing RLidar Configuring RLidar Testing RLidar After further testing, it has been determined that the sensor is detecting the ground, then an image of the lidar beams will be displ...

Index Using RLIDAR Setting scenario Using RLIDAR Several tests have been carried out within the same scenario to check the lidar measurements. Among them, a test has been done with our ag...