first forward deployment at @almond_robotics
cloud inference and evals working through interlatent on Axol
super powerful robot, first time i felt like a robot could hurt me
Hardware is the bridge between AI and the physical world
Atoms and bits must work together to create future systems embedded with physical intelligence
We wrote a guide for those curious about the atoms.
Our mission is to make it easy for anyone to deploy a robot to help them in the real world
We wrote an intuitive guide to understanding modern robotics, catered toward an audience that understands technology but not AI robotics
We hope that this short blog post embeds in you the core principles that will bring further curiosity.
@z_aaa_th Thank you! The visualization is definitely exaggerated for the purpose of understanding
But you can imagine that when a robot moves in chunks it controls the trajectory better because there are less opportunities of producing an out of distribution state
We propose a reward shaping mechanism which aims to reward positive parts of rollouts while adding time step penalty to discourage idleness or inefficiency.
More in the blog post below
interlatent.com/blog/automatic…
Introducing our first technical blog post:
Automatic Dense Rewards for Autonomous Robot Learning
In this post, we utilize VLM chunking techniques to densely reward trajectories based on video and telemetry data without human supervision.
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124 Followers 1K Followingsystems for messy frontier tech: robotics, sensing, AI inference, evals
ex @dirac_labs / @eth / @epfl
currently building + writing in SF
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5K Followers 3K FollowingRobot witch. Head of DevRel @NewTheoryAI. World models, embodied AI, and robotics, with past lives in crypto, esports and gaming. Prev: @0xPolygon, @Optimism