Interlatent @interlatent
Robotics Deployment & Post-training Platform https://t.co/qepIAX9Zi4 interlatent.com Joined February 2026-
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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
@mofrymatic haha fair point, i hope one skims the reading and only looks at the diagrams..
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.
@roland_graser thank you chief deep tech officer
This post was done in collaboration with @tnkrdotai
@bevelez will keep that in mind for the future, thank you.
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
@BangMingYong no clever tricks, same tools as most other websites
@nikhilkr yes on paper everything sounds easy in fact, everything is a function on paper
there are also many diagrams you can play around with. thank you @ddanielshin
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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