Teleops facilities?

NEURA is building facilities where humans wearing motion sensors & VR headsets can train robots 🥽 German robotics firm @NEURARobotics raised $1.4bn Takeaways from CEO @regerdavid1’s chat with @tbpn 🔵There is a lack of data to train robotics models 🔵Internet/egocentric videos aren’t sufficient 👓 🔵Teleops data is needed 🦾 🔵Building infra/facilities to collect the right data 🟢Data collection facilities to be located globally 🌎 🟢Supply chain won't be limited to Europe 🟢Focus is not limited to humanoids 🟢Industrial use cases first, then household 🧑‍🍳

gPrisma Familia❤️ PrismaX Teleops Beginner Guide: Control Explained If you're new to Teleops, this is a simple guide to help you understand how it works. What is Teleops? Teleops is a system where you control a real robot using your keyboard in real time. Every key you press directly moves the robot. You are not watching automation, You are operating it. Basic Control Keys: W / S → Move forward / backward A / D → Move left / right Q / E → Move up / down Z / X → Open / close gripper (pick objects) ← / → → Rotate gripper for alignment C / V → Move robot base left / right Common beginner mistakes: • Pressing keys too fast • Holding multiple keys together • Not checking camera view • Overshooting the object 💡 Simple rule for beginners: Small movements correct timing = better control How to improve quickly: • Move step by step • Observe before acting • Reduce unnecessary actions • Practice same task repeatedly Why is Control Important? Without good control: • Objects can be missed • Alignment becomes difficult • Tasks take longer • More corrections are needed With good control: • Movements become cleaner • Tasks become more efficient • Fewer adjustments are required • Accuracy improves 👉 The more you practice, the better your control becomes. Join the PrismaX family Follow the official @PrismaXai account so you never miss any updates Join the PrismaX Discord : discord.gg/prismaxai Teleoperation platform : app.prismax.ai @vivianrobotics @MaxC16134

Been teleoperating on @PrismaXai for a while now. Here are the tips I wish I knew when I started. If you're just getting into teleoperation — this thread is for you.👇 🔗 app.prismax.ai #PhysicalAI #TeleOps #PrismaX

🇺🇸🤖 Hardware and autonomy stacks all over the US robotics map (via @MFGMillennial / MFGMIL). The missing box is the “data human‑in‑the‑loop” layer for Physical AI: egocentric video, teleops, real‑world ops. That’s where Remotics plugs in.

everybody poops. i mean, teleops.

Why will this actually work? Operator teleops a real robot → High-quality data is captured → Foundation model is trained on that real data → Smarter robot gets deployed to users → Attract more operators attract more data Every single session makes the next robot smarter.

This gets cool once you have an AI teleoperating robotic arms around the world without the AI leaving your secured servers. Gets wild when Teleops aaS allows AI with specific experiences to operate i.e. a dogbot in a dangerous environment.

Yes, real data is very important for the development of robots and teleops.

Me Too! I love teleops. It is the reason I join this industry. I am very happy that people pay much money for me to play with them.

The drawback is that teleoperation is a bit slow (humans are rarely as fast at completing tasks through teleop as they are natively), and there are some Capex costs associated with bringing up the hardware. #teleops #robotic #ai #prismaX Visit us on: prismax.ai/

What if the A and B options are clearly synergistic - e.g. Figure AI plus OnlyFans? They could start via teleops/data collection and then the Figure AI companions could provide “augmented” services

Completely agree with the thoughts here. Every major ML sector has been solved via a well-developed flywheel and embodied AI just doesn’t have one yet. Every hour of robotics teleops/UMI data was paid and worked for— we’ll never reach common crawl scale this way. If you’ve been paying attention closely, you’ll notice a lot of the people in world models are coming from AV… it’s because the AV flywheel has gotten so good that it’s essentially internally solved. Also regarding the arch points here, it’s undoubtedly true. Language-based backbones have no place in action policies. Language is a hyper-compressed representation of reality. In no way is it possible to truly understand the dynamics of the world through language alone.

We spent last 3 months working with a Unitree G1 Humanoids are not fit for real world deployment YET The real problems no one talks about: 1️⃣ They overheat after 15m of work & need to rest 45m 2️⃣ They're weak; G1 can't carry a full tray or spin a valve 3️⃣ Battery doesn't last longer than 1-2 hours 4️⃣ Hand dexterity is insufficient (hard to grasp a bottle) 5️⃣ Teleops lag makes precision work unreliable 6️⃣ Hardware deployment cost don’t justify ROI Humanoids today can’t replace full-time labor 👷 They can’t be deployed without additional labor But here's what matters 👇 Hardware is improving very fast 🦿 In 12–24 months the picture will look different H2 & Walker S2 are much better fit for industrial tasks They still won’t replace a full-time labor 👷 But can do the most dangerous tasks humans do And minimize workplace fatality ⚰️ Despite the challenges, I'm bullish on humanoids 🦾 They will do everything humans can do They will be more flexible than specialized robots They will be mass produced at low costs But we are still very early

Remoroo collects data autonomously for robotics models via automated task executions. The way companies do robot data collection today is either through teleops, which is expensive and very slow, or ego-centric data, which is weak because it does not easily transfer. They do this by combining three things: - A physics-based planner for motion and safety - The Remoroo research agent reading the world and making high-level decisions, like “move to point A” then close the gripper. -A world model that tunes the dexterity needed to actually complete the task Congrats on launch @AdhamGhazali !!

TLDR on @rewkang’s podcast w/ @APompliano FIGURE🦿 Andrew came across @Figure_robot deal in 2023 Had no experience investing in Robotics So asked VC friends for advice Most were skeptical and told him to pass VC robotics bets hadn’t produced many winners US🇺🇸 VS CHINA🇨🇳 Andrew evaluates robotics firms in 3 categories: 1. Manufacturing 2. Hardware design 3. AI capabilities China is the clear winner in manufacturing China is leading in hardware design too US only has Figure/Tesla China has 100s of diff specialized hardware designs US has an edge over AI capabilities AI capabilities are critical cause without brains Robots are useless Andrew thinks tech produced ≠ market cap BYD sells more cars than Tesla But BYD mcap is 10th of Tesla US robotics companies offer higher mcap potential HUMANOIDS VS SPECIALIZED ROBOTS 🤖 Andrew agrees specialized robots are more effective And their adoption will be earlier than humanoids Argues that humanoids can be mass produced cheaper The world is not static so flexibility will be valuable ROBOTICS TRAINING DATA 🕶️ World models have changed the game They are trained on internet video data Despite not as good as teleops/egocentric/sim They are still very valuable And there are loads of them online for free There is still need for egocentric data of specific tasks But the scale of data needed to be collected is Lower than expected compared to 9 months ago JOB DISPLACEMENT 👨‍🔧 Andrew thinks job displacement is real Cognitive jobs will be displaced by digital AI Physical jobs will be displaced by physical AI UBI is not optional but necessary ROBOSTRATEGY $BOT OpenAI and Anthropic went nuts in a few years If you had invested in top AI companies few years ago You would have outperformed the best seed funds Same vertical takeoff will happen for robotics Robostrategy is a publicly trading closed ended VC fund It is currently trading at a premium to NAV NAV premium allows them to raise more capital Via issuing more shares accretively to shareholders

Teleoperation in the PrismaX Project PrismaX is building a decentralized platform for physical AI, connecting robots, real world data, and human intelligence. At its core is teleoperation (teleops), a system that lets humans remotely control robots in real time. What is Teleops at PrismaX? Teleoperation allows community members (Amplifiers) to take direct control of physical robots (starting with tabletop robotic arms) from anywhere with an internet connection. Operators perform tasks like pick-and-place, contributing human dexterity and judgment where AI still falls short. What makes @PrismaXai unique is turning teleops into an open, incentivized protocol: - Standardized interface for easy adoption by robotics companies - Token rewards, staking, and bonuses for high-quality performance - Rich video action data generation to train better foundation models This creates a powerful flywheel: more teleop → better data → smarter robots → more deployment → even more data. Why It Matters Real world robotics lacks high quality training data. Teleoperation solves this by producing precise, labeled, embodied demonstrations that help models learn manipulation and planning in messy physical environments. It serves as a bridge from today’s human-controlled operations to tomorrow’s full autonomy. Current Status and Future Since launch, users can remotely operate real robots and earn rewards through an engaging Tele-op Arcade. The platform emphasizes community participation and decentralization. Looking ahead, PrismaX plans to expand to more robot types (including humanoids), advanced data marketplaces, and stronger evaluation systems. By creating open standards, it aims to accelerate the entire robotics ecosystem.

smart indirect approach to data collection but aren’t teleops datasets *too tied* to the hw they operate remotely?

Sometimes all it takes is a small reminder that the world around us is alive. Not everything is measured by speed. Some things require attention. Some require patience. And some only grow when they are given a little care and time. TeleOps is built on a similar principle. Through remote operation, human operators help robots perform tasks in real-world environments where precision, decision-making, and adaptation to unexpected situations are essential. Human oversight enables these systems to operate safely and effectively in scenarios where full autonomy still has room to improve. Every teleoperation session generates valuable data about actions, environments, and system responses. This data helps train AI models, improve navigation algorithms, and prepare robots for greater autonomy in the future. Step by step, these interactions are helping build the foundation for the next generation of robotics. @PrismaXai