Miguel

23 posts

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Miguel

Miguel

@mglhbr

building @orbitrobotics

Zürich Katılım Ocak 2023
166 Takip Edilen57 Takipçiler
ORBIT
ORBIT@orbitrobotics·
The future has arrived! After a long wait, we are finally ready to reveal our complete space humanoid HELIOS. After two semesters of intense work, research and iteration, this is what we have to show. 4 arms. 4 hands. 1 vision. 1 dream.
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Zeno
Zeno@ZenoInMotion·
We're opening our Global Robotics Research HQ on Bahnhofstrasse in Zürich, and I'm so glad to announce that I'll be heading our expansion to this beautiful city! Since I joined @microagi 4 months ago, I've experienced one of the most intense, insane and meaningful times of my life. We've grown from a few people in our Munich-based HackerPenthouse to operating in 15+ countries, opening multiple offices, and now making Zürich the heart of our global research programs. As anyone who has visited one of our offices would say: 'intense', 'insane' and 'meaningful' are the correct adjectives to use here. The decision between Zürich and SF was not an easy one, but one we're taking with full conviction. microagi's mission is clear: Accelerate Embodied AGI for all. We want our societies to move towards a future of abundance, where fleets of robots build nuclear power plants, construct housing, and source the necessary raw materials autonomously from Earth and space. We want to take responsibility and transition with the right values and humility. Our research center in Zürich is focused on one singular research question: how do we bridge the data gap to real, meaningful deployment? We're not doing this alone. We're partnering with the best frontier labs and hardware manufacturers worldwide to make this a reality. If you haven't realised it yet: SaaS is dead, software is cheap, and tomorrow's trillion-dollar companies are being built on real physical value. Don't waste your time, you only have one life. It's time to Deploy Robots, guys. Let's do it together.
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Tongzhou Mu 🤖🦾🦿
Tongzhou Mu 🤖🦾🦿@tongzhou_mu·
The evolution of the "UMI-style" data collection tool is moving fast, from 2-finger grippers to full 5-finger humanoid hands. The race for the ultimate data collector is on.
Tongzhou Mu 🤖🦾🦿 tweet media
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Laura Modiano
Laura Modiano@LauraModiano·
In today's installment of parenting in tech: visiting the Robotics Lab at @ETH to see the incredible Prof @katzschmann's team projects with @Thom_Wolf and our kids
Laura Modiano tweet media
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Muz
Muz@muzaff3r_h·
@mglhbr @orbitrobotics Amazing! Had my lucky day yesterday. First ACT policy deployed. 60 episodes with 100k steps. 80% success rates.
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Miguel
Miguel@mglhbr·
First ACT pick-and-place policy deployed on IKARUS! Excited that we one-shot the training, but still a long way to go… @orbitrobotics
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Miguel
Miguel@mglhbr·
@andrew_almasi @orbitrobotics you can’t really see it in the posted video, but IKARUS grabs the cube differently depending on its placement and the end effector’s position
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Miguel
Miguel@mglhbr·
@MollySOShea Incredible what thoughtful iteration does for the robotic embodiment generation by generation.
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Molly O’Shea
Molly O’Shea@MollySOShea·
"This is the secret room that nobody’s allowed to come in." Figure CEO Brett Adcock walks through every generation, from Figure 01 → hints of Figure 04 We started in 2022, & the goal was, how do we get humanoid robots to our AI & software team as fast as possible?" Evolution highlights: → Cost ↓ ~90% (Figure 2 → Figure 3) → Built for speed, not cost (early generations) → Compute ↑, battery ↑, sensors ↑ each iteration → “Ozempic” effect — slimmer, lighter, same power → From fragile prototypes → scalable manufacturing “Figure 4 will be the biggest step up we’ve ever made by far.” @adcock_brett @Figure_robot
Molly O’Shea@MollySOShea

BREAKING: First-Ever Full Tour of Figure's Humanoid HQ CEO Brett Adcock Exclusive look through every department on their San Jose campus: BotQ Factory, Testing, Design, Demos & more. Brett walks us through how Figure is built: - System integration lab: where robots are stress-tested with software faults & physical pushes - Helix AI: team floor where the controls & neural network engineers train the vision-language-action model that runs onboard every Figure robot - Reinforcement learning & stability testing: where Figure demos the Vulcan project — surviving a lost knee mid-task - Home: environment where Figure 03 autonomously tidies a living room using their Helix neural network (no teleoperation) - BotQ: manufacturing facility where heads, batteries, and limbs come together on the assembly line, including the custom-built battery line & end-of-line burn-in bays - Industrial design studio: (opened publicly for the first time) housing every generation of Figure robot ever built, including: Figure 01 with its Frankenstein forearms, Figure 02, & the sleek Figure 03 that recently appeared at the White House, plus the evolution of Figure's hands & feet Brett shares why he believes humanoid robots may achieve AGI before any other form factor, why Figure pivoted entirely from hand-coded controls to neural networks, & teases that Figure 04 will be their "iPhone 1 moment." This was so much fun! Big thank you to Brett & the team at Figure for opening the doors for us! @adcock_brett @Figure_robot 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Inside Figure’s Humanoid Campus (00:48) The humanoid factory (03:18) First humanoid guest at the White House (05:29) Controlling a robot with infinite movements (10:46) The truth about robot failures (13:00) Attacking a humanoid robot (testing responses) (16:12) Building a general purpose robot (23:05) The "Never Fall" protocol (28:56) Is the home robot teleoperated? (33:36) Leasing a 24/7 robot (35:01) Can a humanoid build a real car? (43:32) From flying robots to humanoids (45:59) The hidden path to physical AGI (56:21) Figure's secret design studio (01:00:44) Figure 4: The biggest leap in robotics (01:06:25) Training robots in spandex (01:10:26) Westworld, TIME Magazine, & Deadmau5

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Miguel
Miguel@mglhbr·
@chetan_ @orbitrobotics we got to get a wider angle head camera 😅 but thanks a lot, I love your work at ultra! :)
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Neuralink
Neuralink@neuralink·
We are working to restore mobility that was lost due to disease or spinal cord injury by allowing participants to control robotic arms with their thoughts. See how this is possible.
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Miguel
Miguel@mglhbr·
@sanskxr02 exactly! I find it quite fascinating these models can achieve such a task with absence of force sensing, only from visual cues
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Sanskar Pandey
Sanskar Pandey@sanskxr02·
@mglhbr force feedback and object compliance cues are central to any dexterous task!
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Dominique Paul
Dominique Paul@DominiqueCAPaul·
First day designing and experimenting with new grippers
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Miguel
Miguel@mglhbr·
hardware complexity & trying to solve every task < reliability, robustness & easy integration
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