Report
SafeWorld emerges from stealth with $12.2M to build robot-safety simulation software
A post says SafeWorld's simulation tools test robot behavior around realistic human models, focusing on blind corners and stopping distances.
TLDR
The AI Insider reports that SafeWorld emerged from stealth with $12.2 million in seed funding co-led by Shine Capital and a16z Speedrun to develop robot-safety simulation software. A separate post says the tools focus on edge cases involving realistic human models, including blind corners, falls and unpredictable human action.
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