stephen @_ildsjel
idle vapourings of a mind diseased | deploying rl @ apptronik stephenwel.ch carthage Joined February 2018-
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en route to South Korea for Humanoids! I’ll be presenting a position paper about performance tradeoffs at the RL sim2real workshop. DM if you want to chat, would love to talk sysid, RL, HRI, safety, or KBBQ! also drop any recs for cool things to do and see around Seoul :)
🎯 A major milestone on the road to embodied intelligence. This week, @GoogleDeepMind's Gemini Robotics VLA reaches an important milestone in our joint mission to bring AGI into the physical world. By introducing agentic capabilities - the ability to reason, plan, actively use…
So cool to see Skild deliver on their OG pitch :D
So cool to see Skild deliver on their OG pitch :D
I sat down with @TheHumanoidAI a few weeks ago to discuss best practices for training and deploying RL on humanoids. lots of heuristics and tricks of the trade here, take a listen! thehumanoid.ai/deployment-rea…
So there's this game called league of legends
I’m being 100% serious when I say if you buy me this I will make your robot do literally anything you can possibly imagine.
I’m being 100% serious when I say if you buy me this I will make your robot do literally anything you can possibly imagine.
This is what happens when you start doing RL
ahhhh yes good morning let’s open up the Infinite Information River for a nice 20 minutes before getting out of bed or thinking any original thoughts at all
The Carp is Back
it feels like in robot learning there are two groups: > learning people who treat robotics as a problem to solve > roboticists using learning as a tool we need both camps to kiss.
No, 8 reward terms are pretty easy to tune for walking. Model-based controllers like MPC can have one hundred parameters from convex cost functions to robot dynamics to optimization solver. This is the typical complexity of solving real-world (rather than toy) problems.
No, 8 reward terms are pretty easy to tune for walking. Model-based controllers like MPC can have one hundred parameters from convex cost functions to robot dynamics to optimization solver. This is the typical complexity of solving real-world (rather than toy) problems.
A tricky thing about modern society is that no one has any idea when they don’t die. Like, the number of lives saved by controlling air pollution in America is probably over 200k/year, but the number of people who think their life was saved by controlling air pollution is zero.
We've just closed an oversubscribed $403 million Series A, and are thrilled to announce additional investors including @MercedesBenz , Japan Post Capital, RyderVentures (the corporate venture capital arm of @RyderSystemInc ), @ARKInvest & more. We look forward to building…
it is very telling that “BIOS”, in addition to being an acronym, is also the Greek word for “life”. meanwhile, “UEFI” is, of course, ancient Greek for “unified extensible firmware interface”

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