01:37

[BT Studio] Version 0.4 released: showcasing the Web IDE.

02:19

[VisualCircuit] Autoparking in ROS2 using VisualCircuit

01:21

Visual follow-lane application for an Ackermann car using Imitation Learning

01:27

BT Studio 0.3 Laser Bump And Go

01:26

BT Studio 0.3 Visual Follow Person

01:18

ATLAS in BehaviorMetrics using Imitation Learning

01:19

BT Studio 0.3 Recepcionist Demo

02:36

Line follower using imitation learning with a drone on the Nürburgring circuit.

01:29

Lane-following with Deep Reinforcement Learning

01:33

[Academy] Amazon Warehouse exercise solution, including robot geometry and motion restrictions

00:38

[Academy] Ackermann logistic robot for exercise Amazon Warehouse

01:07

[Behavior Metrics] Showcasing GUI mode for fine-grain experimental processing in autonomous driving

00:55

[Behavior Metrics] Showcasing headless mode for batch experimental processing in autonomous driving

01:24

Lane following in CARLA using Q-learning

00:56

Robotics Academy Desktop App: Unleashing Robotic Mastery

03:00

[FPGA-Robotics] ROS-Gazebo-Verilator simulation to debug robot behavior

02:30

[Unibotics] Using Unibotics in Windows with Docker Desktop

02:19

[BT Studio] Version 0.2 released: showcasing the Web IDE.

03:32

[Unibotics] Automatic evaluator for tournaments in Games

03:25

[FPGA-Robotics] ROS-Gazebo interfacing with Verilator simulation

01:41

End-to-End Autonomous Driving Model for Route Navigation Task in Behavior Metrics

01:22

[Academy] Amazon Warehouse exercise in ROS2 Humble

00:58

Lane follower with Q learning

01:42

[Academy] Follow-Person exercise with real Tello drone

03:45

[BT Studio] Version 0.1 released: offline execution

01:26

[Academy] Rescue People exercise now on ROS2 Humble with Aerostack2

01:37

[Academy] RoboticsAcademy-Desktop application (for Linux users)

01:24

[Academy] RoboticsAcademy-Desktop application (for Windows users)

01:40

[VisualCircuit] Dockerized execution of the robotics application from the web browser [WIP]

02:07

[Academy] Real-Follow-Person exercise in ROS2 Humble

02:14

[Academy] Follow-Person exercise in ROS2 Humble

00:56

Showcasing End-to-End Autonomous Driving with Obstacle Avoidance in CARLA Simulator

01:12

Showcasing the social driving capacity with different front vehicles

00:31

[Academy] fly-in-a-square exercise with real Tello drone

01:04

[Academy] Follow Line exercise with a Formula1 car, now with Ackermann dynamics and in ROS2

01:43

Lane follower with Q learning

01:23

[Academy] Improved BasicVacuumCleaner exercise: now in ROS2

01:14

Follow Lane with other vehicles using onboard vision and imitation learning

01:25

[Academy] Follow Line exercise has been improved

01:05

[Academy] Basic Vacuum Cleaner exercise has been improved

00:37

Follow Line application solved with Reinforcement Learning: final version

01:40

[VisualCircuit] Visual Follow-person with ROS2 and Visual Circuit

02:23

[VisualCircuit] Programming Finite State Machines with Visual Circuit

02:51

[Academy] [WIP] AutoParking exercise with an Ackermann steering car

01:24

Follow Line application with Reinforcement Learning [WIP]

02:29

Imitation Learning based on a subjective vision for Follow Lane

02:05

Improved Imitation learning with Bird-eye view for follow-lane autonomous driving in CARLA simulator

01:01

Faster Imitation learning with Bird-eye view for follow-lane autonomous driving in CARLA simulator

01:45

Imitation learning based on Bird-eye view for follow lane autonomous driving in CARLA simulator

01:14

[Academy] Rescue People exercise now wit REACT frontend

01:00

[Academy] Vacuum Cleaner exercise now with REACT frontend

01:15

[Academy] Obstacle Avoidance exercise now with REACT frontend

01:08

[Academy] Car Junction Exercise Improved Car Model

01:18

[Academy] Auto parking Exercise Improved Car Model with 3D Lidar visualization

02:49

[VisualCircuit] Vacuum Cleaner programming with Visual Circuit

01:57

[Behavior Metrics] Comparing optimized models on F1 Line Following Problem

01:14

[Academy] Follow line exercise now with REACT based frontend

01:42

[Behavior Metrics] Improvements with Optimized Models on F1 Line Following Problem

01:31

[Academy] Getting started with Robotics Academy for Regular Users

00:52

[Academy] Ackermann Steering Car Development in ROS and Gazebo