Yee-Haw! Hats off to @UnitreeRobotics for superb engineering (and Marco Hutter for original design combining best of both worlds).
@ken_goldberg
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Robots Are Not Practical for Most Restaurants
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"The idea of robots and all of those things, while it may be great for garnering headlines, it's not practical for the vast majority of restaurants." https://nytimes.com/2024/12/22/business/restaurant-robots.html?smid=nytcore-ios-share&referringSource=articleShare … via @NYTimes
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Humanoid robotics timing concerns for holiday season
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Just in time for stocking stuffers and Hanukkah (but not sure about Jensen’s humanoid robotics timing 😉 https://t.co/V1UhGLbfJy
— Ken Goldberg (@Ken_Goldberg) 17 décembre 2024Just in time for stocking stuffers and Hanukkah (but not sure about Jensen’s humanoid robotics timing 😉
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Integrated Large Models Combined with Good Old Fashioned Engineering
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New computer systems perspective on integrated (modular and hybrid) large models with good old fashioned engineering (GOFE). @UCBerkeley @Berkeley_EECS @Databricks https://
arxiv.org/abs/2412.05299 -
Robot Training Data Visualization and Humanoid Dance Performance Premiere
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Looking fwd to presenting 11:30-11:50am today on: new visualization about robot training data + the long history of humanoids + how we use @openpose for robochoreography + history of work + west coast premier of "Breathless" dance performance tonight @ 7:30 @exploratorium
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AmbiRobotics Achieves 500 Sorts Per Hour Speed Milestone
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In 2024, @AmbiRobotics “increased avg speed to 500 sorts per hour and brought its sort accuracy to 99.6%. For context, in 2022 their machines were at 355 sorts per hour and in 2023 they were at 410.”
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Robotics Survey: Integrating Deep Learning and Explicit Engineering Models
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This is an excellent robotics survey paper contrasting deep learning “implicit” models (data driven) with the long history of “explicit” models (Good Old Fashioned Engineering) and calling for methods that integrate both: @BekrisKostas https://
arxiv.org/abs/2410.12172 -
Comparing π_0 Robot Training Data to Qwen LLM Training Scale
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Thanks Kevin! Using your conversion rate, that works out to π_0 trained on 1 person-year of robot data vs. Qwen trained on 120,000 person-years of LLM data:
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Ken Goldberg Visits USC Roboticists Tomorrow
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Looking fwd to visiting the great roboticists @USC tomorrow.
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Breathless: Robot-Human Dance Performance at Exploratorium San Francisco
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Breathless: A robot – human dance performance
created by @CatieCuan and @Ken_Goldberg @Exploratorium
, San Francisco, CA, Thurs, 12 Dec 2024, 7:30-9:30pm. Tickets: