Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Here is a guide to choose robotics data collection hardware. Robotics data quality starts with the collection stack. It’s not just about camera resolution. What matters is whether the system can reliably produce synchronized, precise, multimodal, and scalable data. Explaining precision, data type, continuous collection and efficiency below, using... show more

ClaraChengGo

6,900 subscribers

61,276 Aufrufe • vor 2 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

29 Kommentare

Profilbild von Sam U

Sam Uvor 2 Monaten

hi Clara, It would be a pleasure if you review our rig. it matches all the state of the art rigs out there, - arguable, we have a better app, better UX, better market sense.

Profilbild von Eren Chen

Eren Chenvor 2 Monaten

Great job Clara! Get a DJI mic next !

Profilbild von ClaraChengGo

ClaraChengGovor 2 Monaten

lol you are right 😂

Profilbild von ClaraChengGo

ClaraChengGovor 2 Monaten

Feel free to check out some selected hardware.

Profilbild von clankr

clankrvor 2 Monaten

Really cool. Multi-camera and UMI support could make a real difference in data quality!

Profilbild von ClaraChengGo

ClaraChengGovor 2 Monaten

exactly!

Profilbild von Sagar Shah

Sagar Shahvor 2 Monaten

Multi-sensor/equipment synchronization is very important, many overlook that which leads to challenges with clock drift, does the gear have its own hardware-based global clock?

Profilbild von ClaraChengGo

ClaraChengGovor 2 Monaten

Vary by products. But for example this one I showed comes with an app. You can use that for sync easily

Profilbild von Jordan Carr

Jordan Carrvor 2 Monaten

Super cool! Literally how does one go about buying this, though?

Profilbild von ClaraChengGo

ClaraChengGovor 2 Monaten

check out here. Only those with millions of revenue and adopted by frontier labs already.

Profilbild von Jordan Carr

Jordan Carrvor 2 Monaten

Mind if I ask the cost?

Profilbild von ClaraChengGo

ClaraChengGovor 2 Monaten

Please send me the model and the amount. And I will send the quote back to ya!

Profilbild von James Wilson

James Wilsonvor 2 Monaten

So cool! I built my own on a low budget by 3d printing a mount for my Zed camera lol

Profilbild von Mike Kalil

Mike Kalilvor 2 Monaten

very thorough

Profilbild von mp_quicksolutions

mp_quicksolutionsvor 2 Monaten

Sent a DM!

Profilbild von Moreha

Morehavor 2 Monaten

Great insights

Profilbild von Tim Li

Tim Livor 2 Monaten

Is this genrobot device or your own device?

Profilbild von ClaraChengGo

ClaraChengGovor 2 Monaten

Genrobot. It's part of our curation here.

Profilbild von Yano

Yanovor 2 Monaten

very cool

Profilbild von Edward S… 🔋

Edward S… 🔋vor 2 Monaten

@Scobleizer

Profilbild von Ching Tseng

Ching Tsengvor 1 Monat

Really solid breakdown on how collection hardware and synchronization directly affect downstream data quality.

Profilbild von mete

metevor 2 Monaten

Very helpful thanks Clara!

Profilbild von ClaraChengGo

ClaraChengGovor 2 Monaten

Glad to help!

Profilbild von Chuck Petras

Chuck Petrasvor 2 Monaten

@BrianRoemmele

Profilbild von bun

bunvor 2 Monaten

@aliteracy

Profilbild von Label Robotics

Label Roboticsvor 2 Monaten

What matters is how to collect this available dataset make it universal across all domain and standardize it so that it useful.

Profilbild von Round Robin

Round Robinvor 1 Monat

She's like the... the Wind Can't look in her eyes She's out of my league Just too fool to believe

Profilbild von Peyman Servati

Peyman Servativor 2 Monaten

Great video. You should use @TexavieInc 5k1n tactile gloves. 1244 tactile data per glove, hand pose tracking, egocentric video and all streamed on the app.

Profilbild von Akbar

Akbarvor 2 Monaten

super useful!

Ähnliche Videos

1/ We are speed running industrial robotics. It took us just 19 days from the first day of data collection to filming a 2.5-hour continuous run of our model autonomously breaking down industrial containers — zero human intervention. The data efficiency of our DVA model is fundamentally changing how fast we bring robots out of the lab and into the factory. Autonomous operation with 3 hours of data collection at a customer factory.

1/ We are speed running industrial robotics. It took us just 19 days from the first day of data collection to filming a 2.5-hour continuous run of our model autonomously breaking down industrial containers — zero human intervention. The data efficiency of our DVA model is fundamentally changing how fast we bring robots out of the lab and into the factory. Autonomous operation with 3 hours of data collection at a customer factory.

Rhoda AI

26,442 Aufrufe • vor 7 Monaten

1/ The data parsing market for robotics is just emerging, and it’s already valued in the tens of billions. Data parsing to build data models and software for Robotics is a $20B market in 2024 and is expected to reach $150B+ by 2034 Cherry AI Robotics has built a data parsing tool for robotics, which goes live next week, and will effectively make this project one of the pioneers in data parsing for robotics.

1/ The data parsing market for robotics is just emerging, and it’s already valued in the tens of billions. Data parsing to build data models and software for Robotics is a $20B market in 2024 and is expected to reach $150B+ by 2034 Cherry AI Robotics has built a data parsing tool for robotics, which goes live next week, and will effectively make this project one of the pioneers in data parsing for robotics.

CherryAI Robotics

90,786 Aufrufe • vor 1 Jahr

Origami Robotics is building high-DOF robotic hands with in-joint motors and a co-designed data-collection glove to eliminate the embodiment gap by collecting high-quality, real-world data at scale. Congrats on the launch, Quanting Xie and Ryan Xie!

Origami Robotics is building high-DOF robotic hands with in-joint motors and a co-designed data-collection glove to eliminate the embodiment gap by collecting high-quality, real-world data at scale. Congrats on the launch, Quanting Xie and Ryan Xie!

Y Combinator

90,275 Aufrufe • vor 7 Monaten

Happy to share what I’ve been working on since joining Genesis! GENE-26.5 is a one-of-a-kind, robotics-native multimodal foundation model that learns from diverse, in-the-wild data across modalities and outputs actions enabling a 54-DoF robot system to perform the most dexterous, long-horizon manipulation tasks to date—approaching human-level capability. This is the result of innovations across the full stack—data collection and processing, robot systems, model architecture, training strategies, and scalable evaluation infrastructure.

Happy to share what I’ve been working on since joining Genesis! GENE-26.5 is a one-of-a-kind, robotics-native multimodal foundation model that learns from diverse, in-the-wild data across modalities and outputs actions enabling a 54-DoF robot system to perform the most dexterous, long-horizon manipulation tasks to date—approaching human-level capability. This is the result of innovations across the full stack—data collection and processing, robot systems, model architecture, training strategies, and scalable evaluation infrastructure.

Zu

20,615 Aufrufe • vor 5 Monaten

Robotics is still data starved. Collecting high-quality robot demonstrations remains brutally slow and expensive. Introducing COBALT: A cloud-native teleoperation platform designed for large-scale robot learning. We are democratizing data collection by leveraging the hardware everyone already owns: the smartphone All you need is to download an app (today)! Read on for more!

Robotics is still data starved. Collecting high-quality robot demonstrations remains brutally slow and expensive. Introducing COBALT: A cloud-native teleoperation platform designed for large-scale robot learning. We are democratizing data collection by leveraging the hardware everyone already owns: the smartphone All you need is to download an app (today)! Read on for more!

Animesh Garg

104,884 Aufrufe • vor 4 Monaten

Today we're launching Hebbian Robotics (YC S26) Hebbian Robotics . We build APIs for evaluating data quality, without training a robotics model. Data vendors use our API to search and analyze Physical AI data at scale, getting on-demand quality signals and metrics without managing infrastructure. High-quality data is the bottleneck to the next frontier of intelligence in robotics. Buyers want data they can trust. Data providers are focused on operational excellence. They don't have the bandwidth to understand the quality of their data at scale. We're fixing this. Vendors use our APIs to understand the impact of their decisions on their data quality: - Buyers demanding per-collector hour limits? Prove compliance while we stay ahead of the workarounds. - Changed your collection SOPs? Monitor for quality drift and regression. - Suspect duplicate samples? Verify with a single API call. Before Hebbian, I trained AI models for industrial cleaning robots, and Kingston Kuan spent years building large-scale infrastructure at Jane Street.

Today we're launching Hebbian Robotics (YC S26) Hebbian Robotics . We build APIs for evaluating data quality, without training a robotics model. Data vendors use our API to search and analyze Physical AI data at scale, getting on-demand quality signals and metrics without managing infrastructure. High-quality data is the bottleneck to the next frontier of intelligence in robotics. Buyers want data they can trust. Data providers are focused on operational excellence. They don't have the bandwidth to understand the quality of their data at scale. We're fixing this. Vendors use our APIs to understand the impact of their decisions on their data quality: - Buyers demanding per-collector hour limits? Prove compliance while we stay ahead of the workarounds. - Changed your collection SOPs? Monitor for quality drift and regression. - Suspect duplicate samples? Verify with a single API call. Before Hebbian, I trained AI models for industrial cleaning robots, and Kingston Kuan spent years building large-scale infrastructure at Jane Street.

Brandon Ong

166,849 Aufrufe • vor 2 Monaten

I tested out the egocentric headset with wrist camera + UMI gripper from Maniformer. Maniformer is the robotics data company incubated by AGIBOT . Now it has 2 product lines for data collection: egocentric headset with wrist cameras + UMI gripper. The MEgo View comes with a 5-camera headset + 2 wrist cameras, 300 degree view, global shutter, 2-hour battery life with hot swapping. The MEgo Gripper comes with 3 cameras, optional 3D tactile, global shutter, 200 degree fisheye. For both devices, you can upload the data by Wifi, USB or SD card. The data output includes 7-camera RGB image, depth info, IMU, trajectory and audio. On top of these, the gripper provides tactile info, gripper distance and angle as well. The app expands multiple use cases. It is not only for enterprises to sync the equipments and check the video stream in real time, but also for consumers to claim the tasks and earn earn real cash. Check the video for details. DM is open.

I tested out the egocentric headset with wrist camera + UMI gripper from Maniformer. Maniformer is the robotics data company incubated by AGIBOT . Now it has 2 product lines for data collection: egocentric headset with wrist cameras + UMI gripper. The MEgo View comes with a 5-camera headset + 2 wrist cameras, 300 degree view, global shutter, 2-hour battery life with hot swapping. The MEgo Gripper comes with 3 cameras, optional 3D tactile, global shutter, 200 degree fisheye. For both devices, you can upload the data by Wifi, USB or SD card. The data output includes 7-camera RGB image, depth info, IMU, trajectory and audio. On top of these, the gripper provides tactile info, gripper distance and angle as well. The app expands multiple use cases. It is not only for enterprises to sync the equipments and check the video stream in real time, but also for consumers to claim the tasks and earn earn real cash. Check the video for details. DM is open.

ClaraChengGo

13,758 Aufrufe • vor 2 Monaten

1/ Cherry AI Robotics is building the world’s first data layer for robotics. Every autonomous robot needs a neural network to operate, which requires massive domain-specific data. Cherry AI Robotics has an entire ecosystem of products with 200k+ communities and 800k+ users. These products generate large amounts of data, which is parsed to create valuable data sets for robotics. Learn more:

1/ Cherry AI Robotics is building the world’s first data layer for robotics. Every autonomous robot needs a neural network to operate, which requires massive domain-specific data. Cherry AI Robotics has an entire ecosystem of products with 200k+ communities and 800k+ users. These products generate large amounts of data, which is parsed to create valuable data sets for robotics. Learn more:

CherryAI Robotics

105,357 Aufrufe • vor 1 Jahr

Training data collection is one of the biggest challenges in #Robotics. We're solving it with #NVIDIAIsaac GR00T-Dreams. By using #NVIDIACosmos world foundation models and generative AI, developers can create vast, realistic synthetic data at scale. Benefits: ✔️Cheaper & faster data collection ✔️Smarter robots in new environments ✔️ No more teleoperation bottlenecks ✔️ Small teams = massive impact Get Started 🔗 #GTCParis #VivaTech

Training data collection is one of the biggest challenges in #Robotics. We're solving it with #NVIDIAIsaac GR00T-Dreams. By using #NVIDIACosmos world foundation models and generative AI, developers can create vast, realistic synthetic data at scale. Benefits: ✔️Cheaper & faster data collection ✔️Smarter robots in new environments ✔️ No more teleoperation bottlenecks ✔️ Small teams = massive impact Get Started 🔗 #GTCParis #VivaTech

NVIDIA Robotics

17,040 Aufrufe • vor 1 Jahr

A lot of robot learning pipelines treat embodiment mismatch as a software problem. Collect data with one device, retarget the motion to another robot, and try to deal with the differences later. TwinDEX flips that idea around. This system is from a Chinese robotics company called X Square. Instead of starting with a generic data-collection device, the team co-designs a wearable three-finger end-effector and a robotic hand as two sides of the same learning system. They align the things that actually matter during manipulation: joint structure, link proportions, contact geometry, surface properties, visual appearance, sensing, and timing. That matters because dexterous manipulation is much more than matching hand poses. A few millimeters of contact error or a different force relationship can completely change how a task is executed. In the collection evaluation, TwinDEX delivered up to 5.3 times the effective throughput of on-robot teleoperation. It’s a useful reminder that scaling robot learning may not only be about bigger models and more data. Sometimes the hardware collecting the data is part of the data problem itself.

A lot of robot learning pipelines treat embodiment mismatch as a software problem. Collect data with one device, retarget the motion to another robot, and try to deal with the differences later. TwinDEX flips that idea around. This system is from a Chinese robotics company called X Square. Instead of starting with a generic data-collection device, the team co-designs a wearable three-finger end-effector and a robotic hand as two sides of the same learning system. They align the things that actually matter during manipulation: joint structure, link proportions, contact geometry, surface properties, visual appearance, sensing, and timing. That matters because dexterous manipulation is much more than matching hand poses. A few millimeters of contact error or a different force relationship can completely change how a task is executed. In the collection evaluation, TwinDEX delivered up to 5.3 times the effective throughput of on-robot teleoperation. It’s a useful reminder that scaling robot learning may not only be about bigger models and more data. Sometimes the hardware collecting the data is part of the data problem itself.

Alamin

48,112 Aufrufe • vor 1 Monat

Argus: an open-source robotics data annotation and quality pipeline. With new frontier VLMs like GPT-6 Astra, we can generate rich, high-quality annotations for robotics data for both training and dataset analysis. Argus delivers detailed, timestamp-level annotations while catching issues like mislabeled instructions, sped-up recordings, swapped camera streams, and unflagged operator mistakes. To support better data quality for the robotics community, we’re open-sourcing Argus for anyone to use 🧵

Argus: an open-source robotics data annotation and quality pipeline. With new frontier VLMs like GPT-6 Astra, we can generate rich, high-quality annotations for robotics data for both training and dataset analysis. Argus delivers detailed, timestamp-level annotations while catching issues like mislabeled instructions, sped-up recordings, swapped camera streams, and unflagged operator mistakes. To support better data quality for the robotics community, we’re open-sourcing Argus for anyone to use 🧵

calix

86,098 Aufrufe • vor 22 Tagen

Asimov (Asimov) pays households and businesses worldwide to record their daily routines, generating thousands of hours a day of diverse human movement data to train humanoid robots. They've built a global network, along with the full stack, from proprietary collection hardware to annotation tooling, and are already providing data to the largest robotics companies in the world. Congrats on the launch, Lyem Ningthou and Anshul!

Asimov (Asimov) pays households and businesses worldwide to record their daily routines, generating thousands of hours a day of diverse human movement data to train humanoid robots. They've built a global network, along with the full stack, from proprietary collection hardware to annotation tooling, and are already providing data to the largest robotics companies in the world. Congrats on the launch, Lyem Ningthou and Anshul!

Y Combinator

74,816 Aufrufe • vor 7 Monaten

With the stack fixed, can an AI agent choose data and experiment like a researcher? At Evolvent AI, we built RSIBench-Data to test whether agents can diagnose failures, design data, train checkpoints, and use feedback. 🧵 📄 💻

With the stack fixed, can an AI agent choose data and experiment like a researcher? At Evolvent AI, we built RSIBench-Data to test whether agents can diagnose failures, design data, train checkpoints, and use feedback. 🧵 📄 💻

Fanqing

52,239 Aufrufe • vor 2 Monaten

It's easy for robots to nail a demo. It's much harder to get them to work reliably in the real world. The bottleneck is data. At Axis Robotics we're building a compounding data engine that combines simulation, ego-centric data and DAgger correction data at scale. Watch our CEO ChrisF(✱,✱) break down the data bottleneck, why messy data can still train good models, and what it takes to get robots out of the lab with blocmates. ⬇️

It's easy for robots to nail a demo. It's much harder to get them to work reliably in the real world. The bottleneck is data. At Axis Robotics we're building a compounding data engine that combines simulation, ego-centric data and DAgger correction data at scale. Watch our CEO ChrisF(✱,✱) break down the data bottleneck, why messy data can still train good models, and what it takes to get robots out of the lab with blocmates. ⬇️

Axis Robotics

23,713 Aufrufe • vor 2 Monaten

Introducing: Advanced Data Assets™ By LayerAI 🧬 Data is used to power Big Data and AI. The increasing demand for high quality data to improve AI models will lead to new companies creating value in the global data market. The problem: current data collection methods make data fall short of its true potential. Data is limited. Building a decentralized solution where users choose to productize and earn from their data opens untapped sources of income. 🌐 Creating Advanced Data Assets™ There exists a market opportunity to create a digital blockchain-based global data marketplace. Data collected using our nodes, our native network apps, settled on LayerAI. The Advanced Data. Meet the Ecosystem that empowers users to participate in the Data Economy.

Introducing: Advanced Data Assets™ By LayerAI 🧬 Data is used to power Big Data and AI. The increasing demand for high quality data to improve AI models will lead to new companies creating value in the global data market. The problem: current data collection methods make data fall short of its true potential. Data is limited. Building a decentralized solution where users choose to productize and earn from their data opens untapped sources of income. 🌐 Creating Advanced Data Assets™ There exists a market opportunity to create a digital blockchain-based global data marketplace. Data collected using our nodes, our native network apps, settled on LayerAI. The Advanced Data. Meet the Ecosystem that empowers users to participate in the Data Economy.

LayerAI | AI2Earn

27,140 Aufrufe • vor 2 Jahren

So I heard we need more data for robot learning :) Purely real world teleop is expensive and slow, making large scale data collection challenging. I’ve been excited about getting more data into robot learning, going beyond just real-world teleop data. To this end, we’ve been scaling up data generation with RL in realistic simulations generated on the fly from crowdsourced videos. Enables realistic data collection, much more cheaply than purely real world teleop. Importantly, data collection becomes even*cheaper* with more environments, allowing training with over 100x more data. Transfers to real robots for generalizable manipulation. A 🧵 (1/N)

So I heard we need more data for robot learning :) Purely real world teleop is expensive and slow, making large scale data collection challenging. I’ve been excited about getting more data into robot learning, going beyond just real-world teleop data. To this end, we’ve been scaling up data generation with RL in realistic simulations generated on the fly from crowdsourced videos. Enables realistic data collection, much more cheaply than purely real world teleop. Importantly, data collection becomes evencheaper with more environments, allowing training with over 100x more data. Transfers to real robots for generalizable manipulation. A 🧵 (1/N)

Abhishek Gupta

13,358 Aufrufe • vor 1 Jahr

Instagram launches forced Data Collection to use their app If you login and get this prompt, you must accept data all this data collection or you will be promoted to log out and not allowed to use the App Here is a full down of what’s mandatory to give up to use Instagram: Collection and use of personal data: They collect our activity on Instagram (posts, stories, likes, comments, searches, time spent), device info, IP address, contacts (if synced), messages, location (when enabled), demographics, and inferred interests Sharing of data with other Meta companies. They take all the personal data they collected and share across Facebook, WhatsApp, Threads, Oculus, etc. Cross-border transfers of personal data: Your data is sent and stored in the US and other countries where Meta has offices/data centers or partners. Location information: Precise location (GPS when you use features like Stories or check-ins), approximate location from IP/Wi-Fi, and location-based activity history. Stop using META products

Instagram launches forced Data Collection to use their app If you login and get this prompt, you must accept data all this data collection or you will be promoted to log out and not allowed to use the App Here is a full down of what’s mandatory to give up to use Instagram: Collection and use of personal data: They collect our activity on Instagram (posts, stories, likes, comments, searches, time spent), device info, IP address, contacts (if synced), messages, location (when enabled), demographics, and inferred interests Sharing of data with other Meta companies. They take all the personal data they collected and share across Facebook, WhatsApp, Threads, Oculus, etc. Cross-border transfers of personal data: Your data is sent and stored in the US and other countries where Meta has offices/data centers or partners. Location information: Precise location (GPS when you use features like Stories or check-ins), approximate location from IP/Wi-Fi, and location-based activity history. Stop using META products

Wall Street Apes

266,148 Aufrufe • vor 3 Monaten

Wow AI is your one-stop shop for everything AI data training: 1️⃣ OTS Dataset 2️⃣ Custom Data Collection 3️⃣ Labeling 4️⃣ Crowdsourcing With Wow AI, you can be confident that your AI training data is of the highest quality, ethical, and compliant. Visit us 👉

Wow AI is your one-stop shop for everything AI data training: 1️⃣ OTS Dataset 2️⃣ Custom Data Collection 3️⃣ Labeling 4️⃣ Crowdsourcing With Wow AI, you can be confident that your AI training data is of the highest quality, ethical, and compliant. Visit us 👉

Wow AI

52,061 Aufrufe • vor 3 Jahren

“Data in robotics versus data in LLMs has a very different alpha decay problem.” — Tarun Chitra, Managing Partner Robot Ventures Much of what LLMs learn can carry across contexts. Robotics data is far more conditional: what works depends heavily on the robot, the objects, and the environment. As robots move into more complex, real-world settings, previously collected data can become less relevant much faster. For builders and investors, that shifts the question from “How much data do you have” to “How quickly can you close the loop between deployment, new data, and adaptation”. From The Convergence: Bhutan by YZi Labs.

“Data in robotics versus data in LLMs has a very different alpha decay problem.” — Tarun Chitra, Managing Partner Robot Ventures Much of what LLMs learn can carry across contexts. Robotics data is far more conditional: what works depends heavily on the robot, the objects, and the environment. As robots move into more complex, real-world settings, previously collected data can become less relevant much faster. For builders and investors, that shifts the question from “How much data do you have” to “How quickly can you close the loop between deployment, new data, and adaptation”. From The Convergence: Bhutan by YZi Labs.

YZi Labs

26,519 Aufrufe • vor 1 Monat