
Co-Founder and CEO @markovrobotics
San Francisco, CA
Joined October 2023
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.@markovrobotics is teaching robots to tackle complex manipulation tasks with fewer than ten hours of robot data. Their bet: video already contains most of the physical reality a robot needs to act.
They use Modal for video processing, world model training, and remote inference.
atharva retweeted
Great writeup from @modal on how we’re building general-purpose robotic dexterity.
Being able to scale from zero to hundreds of GPUs on demand has made a huge difference in how quickly we can iterate on our world models. Appreciate the Modal team!
.@markovrobotics is teaching robots to tackle complex manipulation tasks with fewer than ten hours of robot data. Their bet: video already contains most of the physical reality a robot needs to act.
They use Modal for video processing, world model training, and remote inference.
atharva retweeted
Over at @markovrobotics, some former Yochanites are apparently busy bringing dLLM policies and video world models together to do some cool robotics.. – at Tempe, AZ










