“As retailers look to…improve efficiency and customer experience, @PitneyBowes is using our investments in automation, robotics, and machine learning to make ecommerce logistics easier and more efficient…” @AmbiRobotics https://
finance.yahoo.com/news/pitney-bo
wes-expands-regional-delivery-131500178.html?soc_src=social-sh&soc_trk=tw&tsrc=twtr
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ROBOTICS
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Pitney Bowes Automation and Robotics Improve Ecommerce Logistics Efficiency
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Google Robots Become Smarter With AI Language Models
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Aided by #AI Large Language Models, Google's Robots Are Getting Smart https://
nytimes.com/2023/07/28/tec
hnology/google-robots-ai.html
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MIT Framework Explains Robot Failures Using Counterfactual Explanations
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What happens when you purchase a robot for household tasks, but the bot fails? MIT framework helps non-technical users learn why using counterfactual explanations, then fine-tunes an ML algorithm so the robot can perform the task correctly: http://
bit.ly/3Q019Iw -
PaLI-X advances robotics with real-world apple and banana sorting
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This is cool! 🥳 Nice to see more impact from PaLI-X (ViT22B + 32B UL2) on robotics.
— Yi Tay (@YiTayML) 29 juillet 2023
Gotta admit the ability to move apples and bananas in the real world just hits different from any emergent language/vision tasks. https://t.co/izPwjiVEoMThis is cool! Nice to see more impact from PaLI-X (ViT22B + 32B UL2) on robotics. Gotta admit the ability to move apples and bananas in the real world just hits different from any emergent language/vision tasks.
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Robot Motions as Language: Transformer Architecture for Action Understanding
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Interesting idea: treat sequences of robot motions as sequences of words with a similar transformer architecture to link language, vision, and action.
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RT-2 Robotics Transformer: Vision and Language to Action Model
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RT-2 relevant links: Project page: https://
robotics-transformer2.github.io
Paper: https://
robotics-transformer2.github.io/assets/rt2.pdf
Blog: https://
deepmind.com/blog/rt-2-new-
model-translates-vision-and-language-into-action
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RT-1: https://
robotics-transformer1.github.io
PaLI-X(direct scale up of PaLI): https://
arxiv.org/abs/2305.18565
PaLM-E: https://
arxiv.org/abs/2303.03378 Work from Google -
RT-2: Vision-Language-Action Models for Robotic Control
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RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control RT-2(Robotic Transformer 2) is a new model in family of vision-language action models(VLAs). RT-2 builds up on RT-1 and vision-language models(VLMs). RT-2 makes use of pre-trained VLMs and is
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Robots Creating Art While Humans Perform Low-Wage Manual Labor
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A recent twist of fate: Humans are doing the hard manual labor on minimum wage, while the robots write poetry and paint.
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LLM Overkill: Do We Really Need AI for Robot Vision Tasks?
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while cool, I’m not sure you need an LLM to identify an extinct animal in an image, translate it’s coordinates to a robot arm that can then pick it up.
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RT-2: Bridging Gap Between Data Analysis and Physical Robotics
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Computers have long been great at complex tasks like analysing data, but not so great at simple tasks like recognizing & moving objects. With RT-2, we’re bridging that gap by helping robots interpret & interact with the world and be more useful to people.