The 'MaeGo' Shooting Game Robot Has LiDAR Technology and More
Michael Hemsworth — April 15, 2020 — Life-Stages
References: kickstarter & geeky-gadgets
The 'MaeGo' self-driving robot toy is a LiDAR-enabled target practice solution that will enable users to play solo or with others like never before. The robot features an artificial intelligence (AI)-powered functionality that will allow users to shoot at it using infrared or Nerf guns to inflict digital damage onto the unit. The car will drive around a space utilizing obstacle detection and avoidance to transform any living space into a gaming field.
The 'MaeGo' self-driving robot toy can be used right out of the box, but also accommodates users who want to try their hand at programming the unit. This is thanks to blockly and python coding compatibility to let users customize it to suit their needs or preferences.
The 'MaeGo' self-driving robot toy can be used right out of the box, but also accommodates users who want to try their hand at programming the unit. This is thanks to blockly and python coding compatibility to let users customize it to suit their needs or preferences.
Trend Themes
1. Lidar Technology in Toys - The use of LiDAR technology in toys like the 'MaeGo' robot opens up opportunities for immersive and interactive gaming experiences.
2. AI-powered Target Practice - The integration of artificial intelligence in target practice robots like 'MaeGo' allows for more realistic and challenging gameplay.
3. Coding for Customization - Enabling blockly and python coding in toys like the 'MaeGo' robot empowers users to personalize and create unique experiences.
Industry Implications
1. Toys & Gaming - The 'MaeGo' robot represents the growing trend of technologically advanced toys that offer engaging gameplay experiences.
2. Artificial Intelligence - The use of AI in target practice robots points to the potential for AI integration in various industries for interactive and adaptive systems.
3. Education & STEM - Toys like 'MaeGo' that support programming and customization contribute to the advancement of STEM education and computational thinking skills.
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