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4
Gems
4460
Points
Robots + AI: What’s Actually Happening (and why it’s wild) 🤖✨
Quick TL;DR: robots are no longer just metal arms doing the same boring job — AI is turning them into learning, chatting, adapting coworkers (sometimes annoying, sometimes brilliant). Here’s the fun version:
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Robots are getting brains, not just brawn.
Modern foundation models and multimodal AIs let robots see, read, and understand richer context — so a robot can recognize a mug, hear “hand me that,” and act without you writing a 200-line script. -
They actually learn from mistakes (no coffee breaks needed).
Instead of endless reprogramming, robots can improve from experience or simulation — think “trial, error, get smarter” loops. That means faster deployments and fewer “oops” moments. -
Real-world wins: hospitals, warehouses, and homes.
From delivery robots in hospitals to assistive bots in senior living, AI-robot combos are moving from lab demos into real work that saves time and tired backs. (Moxi and similar bots are live examples.) -
Not everything is rosy — safety, trust & jobs matter.
Smarter robots bring tricky questions: how do we make them safe, explainable, and fair? Also — some routine jobs will shift, so upskilling matters. Researchers and journals are actively calling this out. -
What to watch next: “embodied” foundation models & better human-robot chats.
The hottest research is about letting big models control mobile robots and learn across different bodies — imagine one model helping both a drone and a delivery bot. That’s coming fast.
arxiv.org
Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review
Rapid advancements in foundation models, including Large Language Models, Vision-Language Models, Multimodal Large Language Models, and Vision-Language-Action Models have opened new avenues for embodied AI in mobile service robotics. By combining foundation models with the principles of embodied AI, where … Continue reading
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