From 71a621724e46c6465bc18c6f90cd8800657131b2 Mon Sep 17 00:00:00 2001 From: Akram Date: Tue, 30 Jul 2024 17:06:58 +0200 Subject: [PATCH] Fix table formatting and add missing newline in README --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 8a42bc41..614fe59b 100644 --- a/README.md +++ b/README.md @@ -14,6 +14,7 @@ Several kind of exclusive applications are available: * Remote Control - The robot is remote controlled by e.g. the [DroidControlShip](https://github.com/BlueAndi/DroidControlShip) in a convoy follower role. * Sensor Fusion - The robot provides odometry and inertial data to the [DroidControlShip](https://github.com/BlueAndi/DroidControlShip), which calculates the sensor fusion based location information. * Line Follower with Reinforcement Learning - A line follower with reinforcement learning uses a learning agent that uses rewards and punishments to steer optimally in order to follow a line autonomously. + ## Table of content * [The robot](#the-robot) @@ -158,8 +159,7 @@ Example for the **LineFollowerTarget** application: | LineFollowerSimple | Just a simple line follower, using a PID controller. | Yes | No | ./webots/worlds/ETrack.wbt ./webots/worlds/LargeTrack.wbt ./webots/worlds/LineFollowerTrack.wbt | | RemoteControl | The robot is remote controlled by e.g. the [DroidControlShip](https://github.com/BlueAndi/DroidControlShip) in a convoy follower role. | No | Yes | ./webots/world/zumo_with_com_system/* | | SensorFusion | The robot provides odometry and inertial data to the [DroidControlShip](https://github.com/BlueAndi/DroidControlShip), which calculates the sensor fusion based location information. | No | Yes | ./webots/worlds/zumo_with_com_system/LineFollowerTrack.wbt | -| ReinforcementLearning | A line follower with reinforcement learning uses a learning agent that uses rewards and punishments to steer optimally in order to follow a line autonomously. -| Yes | No | ./webots/worlds/RL_LineFollower.wbt | +| ReinforcementLearning | A line follower with reinforcement learning uses a learning agent that uses rewards and punishments to steer optimally in order to follow a line autonomously. | Yes | No | ./webots/worlds/RL_LineFollower.wbt | | Test | Only for testing purposes on native environment. | Yes | No | N/A | # Documentation