
Chris Paxton
@chris_j_paxton • 34,315 subscribers
Mostly posting about robots. currently AI @agilityrobotics prev embodied AI @AIatMeta, @NVIDIAAI. All views my own.
Shorts
Videos

Easily the most impressive uncut autonomous video I've ever seen, from Physical Intelligence
Chris Paxton467,648 просмотров • 1 год назад

This is the first time that I have seen Skild doing live demos in public! Demonstrating neural nets for precision manufacturing
Chris Paxton107,554 просмотров • 4 месяцев назад

The best way to get robust, high-quality robot performance is through reinforcement learning; but RL in either the real world or a traditional simulation has lots of limitations. Instead, Jiazhi Yang in RISE does RL in a compositional world model. Learn more ->
Chris Paxton33,766 просмотров • 1 месяц назад

It is really incredible what these robots can do now from omnixtreme - new RoboPapers episode tomorrow
Chris Paxton62,336 просмотров • 2 месяцев назад

Gears are the "muscles" of robotics; but with so many AI/ML folks getting into robotics now, you may not know what people mean when they say cycloid/strain wave/planetary gear, and, more importantly why they matter What are the advantages and disadvantages? What actually ARE these things? I made this over the weekend to try to help provide an intuition: Probably has some mistakes as I am no mechanical engineer but I think it's useful
Chris Paxton16,526 просмотров • 19 дней назад

UMI-style robot learning with mobile manipulation and multiple robots
Chris Paxton12,148 просмотров • 20 дней назад

One of my favorite works in the "robot learning from human videos" space that I have seen lately. This is because it offers a really coherent and unique way to represent robot skills without a lot of the downsides we see from estimation-based approaches.
Chris Paxton78,419 просмотров • 9 месяцев назад

Still one of the top "oh wait this might really work" kind of moments for me
Chris Paxton46,687 просмотров • 5 месяцев назад