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Voice Commands Using Arduino and Machine Learning
This segment provides a step by step guide on how to setup hardware components and use a tensorflowLite model to recognize ‘yes’ and ‘no’ voice commands.
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Mobile Robot Hardware
This video discusses the hardware components of mobile robots, including drive mechanics, controllers, sensors and the overall system design.
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Robot Simulation: Concept, Setup
This video segment explains the concept of robot simulation and gives an introduction to the EyeSim simulation system.
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Mazes: Exploration
This video segment introduces mazes and their simulation environment format. Iterative (left-hand rule) and recursive algorithms for maze exploration are shown.
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Lidar: Light Detection and Ranging
This video introduces the concept of a Lidar sensor and its applications. A Lidar is used for a predator-prey simulation as well as for driving a real and a simulated Formula-SAE Autonomous race car.
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Autonomous Boats and Submarines (AUV)
This video part shows real and simulated autonomous underwater vehicles (AUV) and autonomous boats. Sample programs for basic movements patterns are shown.
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Robot Vision: Motion Detection
This video segment analyses image sequences, identifying changes that are due to motion in the image field. This concept is then extended to tracking moving objects.
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Outlook: Virtual Reality, Autonomous Vehicles, Projects
This video concludes the s0eries by giving an outlook at more ambitious robotics projects, including EyeSim Virtual Reality on the Oculus Quest. The video highlights more complex autonomous vehicles and introd...
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Introduction
This video gives a general introduction to robotics. It shows the robots we work on in the UW Robotics Lab and discusses different types of real and simulated robots.
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Mobile Robot Software
This video gives an introduction into the software setup and connection between a robot and a laptop/desktop computer. It shows how to transfer files, do a remote login, compile and run application programs.
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Robot Simulation: Examples
This video segment demonstrates the use of the EyeSim robot simulator by introducing several sample robot application programs.
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Mazes: Navigation
This video segment demonstrates how to navigate in a given maze. It introduces algorithms for flood fill and shortest path generation. Driving accuracy and necessary control algorithms as discussed as well.
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Robot Vision: Edge Detection
This video segment introduces image processing routines for robot vision. It defines standard image data formats and demonstrates edge detection using the Laplace and Sobel filters in real and simulated enviro...
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Industrial Robot Manipulators
This video introduces industrial robot manipulators and their standard drawing notation of links and joints. Real and simulated sample robots are Nachi and UR5, for which a simple programming interface is shown.
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Robot Vision: Color Detection
This video segment introduces color models RGB and HSI and uses the latter for identifying colored objects in an image. Histograms are used to find the exact object location to guide a robot driving towards a ...