LooperRobotics

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LooperRobotics

LooperRobotics

@LooperRobotics

The eyes of Embodied Intelligence. 🤖 Makers of Insight 9⚡️Powering the next generation of autonomy.

Wan Chai, HK Katılım Aralık 2025
24 Takip Edilen373 Takipçiler
LooperRobotics
LooperRobotics@LooperRobotics·
Get a sneak peek at Insight 7 in our official teaser video. 🎬 Designed for compact mobile robotic platforms, Insight 7 features a 70 mm standard stereo baseline and an ideal range of 0.15 m to 15 m, optimized for mid-range perception. With a more compact form factor, Insight 7 inherits the same onboard VIO, 10 TOPS AI acceleration engine, and ROS integration capabilities as Insight 9. Equipped with Dual Global Shutter sensors, it delivers synchronized visual, spatial, and motion data out of the box. Coming soon. 🦾 #SpatialAI #Robotics #ComputerVision #EmbodiedAI #ROS #VSLAM
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LooperRobotics
LooperRobotics@LooperRobotics·
High-quality robot learning starts with high-quality data. This sequence demonstrates a standardized Embodied AI data collection and real-time verification process covering articulated object manipulation, deformable object manipulation, and fine-grained manipulation. One of the biggest engineering challenges is reducing offline post-processing caused by trajectory drift, inaccurate frontend VIO, and time synchronization errors. The Looper Embodied Data Collection Suite synchronously captures RGB, depth, IMU, and real-time VIO poses, supporting a streamlined workflow from collection to delivery. High-quality data production is the essential infrastructure for Embodied AI. #Robotics #EmbodiedAI #MachineLearning #ComputerVision #PhysicalAI #RobotLearning #DataCollection #UMI #EgoData
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LooperRobotics
LooperRobotics@LooperRobotics·
Gripper-mounted Ego + UMI data collection. This demo explores a new workflow using a head-mounted Insight 9 together with Insight 7 mounted on the grippers. ▪️ Object picking ▪️ Cloth folding Synchronously capturing: ▪️ First-person observations ▪️ End-effector trajectories ▪️ Real-time VIO Not just capturing data—it enables real-time verification during collection. P.S. In the current demo, gripper opening/closing angle is not yet synced. We'll update this in our next test. Stay tuned! #EmbodiedAI #RobotLearning #Robotics #EgoData #UMI #VIO #PhysicalAI #ComputerVision
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LooperRobotics
LooperRobotics@LooperRobotics·
Meet the next member of the Insight family: Insight 7. Designed for compact mobile robotic platforms, Insight 7 features a 70 mm standard stereo baseline and an ideal range of 0.15 m to 15 m, optimized for mid-range perception. With a more compact form factor, Insight 7 inherits the same onboard VIO, AI acceleration, and ROS integration capabilities as Insight 9, delivering synchronized visual, spatial, and motion data out of the box. Coming soon. 🦾 #LooperRobotics #SpatialAI #Robotics #ComputerVision #EmbodiedAI #ROS
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LooperRobotics
LooperRobotics@LooperRobotics·
This clip demonstrates an outer loop running in the physical world. Insight 9 + Insight 7 capture synchronized multi-modal data (vision + VIO trajectories) with real-time on-device verification — no heavy post-processing required. Clean, persistent artifacts are generated during task execution. These artifacts compound across sessions and directly feed better inner loops for autonomous robots. This is embodied Loop Engineering. #LoopEngineering #EmbodiedAI #VIO #Robotics #PhysicalAI
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LooperRobotics
LooperRobotics@LooperRobotics·
@SanSanychUA Exactly! Our VIO pipeline inherently fuses the IMU data right out of the box. This seamlessly integrated VIO data stream is part of the raw output from Insight 9, making it readily available for everyone to use directly for their applications
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San Sanych
San Sanych@SanSanychUA·
@LooperRobotics Pure VIO holding near-zero drift through the ICRA lobby with glass walls and foot traffic is genuinely impressive — most systems fold at the first reflective surface. The colorized point cloud in real time is the part that catches attention. Are you fusing any additional IMU pre-integration beyond the default VIO pipeline, or is this raw Insight 9 output?
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LooperRobotics
LooperRobotics@LooperRobotics·
Insight 9 + Insight 7 for Ego + UMI Data Collection. 1× Insight 9 (Head-mounted) 2× Insight 7 (Wrist-mounted) Synchronously capturing: ▪️ First-person observations ▪️ Hand motion trajectories ▪️ Real-time VIO poses Task: Chinese Kung Fu (Tai Chi). All computed on-device and available in real time. Verify results during collection. Less post-processing. Faster iteration. #EmbodiedAI #EgoData #UMI #PhysicalAI #VIO #Robotics #SpatialAI
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LooperRobotics
LooperRobotics@LooperRobotics·
@alexpdiggs Thanks! 🙌 That’s Insight 9, the world’s 1st Autonomous Spatial AI Camera. It gives robots ultra-smart "eyes" with high-precision spatial perception. 🔗 Visit our official website for details!
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LooperRobotics
LooperRobotics@LooperRobotics·
🚀 Exciting progress from the lab! Our mass production is in the final testing and calibration phase, and the first batch of Insight 9 units is looking fantastic. 👀 📦 To our Kickstarter Backers: Your Backer Surveys are officially OUT! Please check your Kickstarter inbox and submit your shipping info ASAP (a valid phone number is absolutely required for international delivery). ⚠️ Quick expectation check: We are collecting your addresses IN ADVANCE. We are not shipping boxes out today. By getting your info sorted now, we ensure zero delays the exact moment our mass production and final testing are 100% complete! 🌟 Missed the Kickstarter? Official website pre-orders are now open! Secure your unit to join our upcoming shipping waves: shorturl.at/iA6nz #Robotics #SpatialAI #EmbodiedAI #LooperRobotics
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LooperRobotics
LooperRobotics@LooperRobotics·
Insight 9 + Insight 7 for Ego + UMI Data Collection. 1× Insight 9 (Head-mounted) 2× Insight 7 (Wrist-mounted) Synchronously capturing: ▪️ First-person observations ▪️ Hand motion trajectories ▪️ Real-time VIO poses Tasks: Folding clothes. Pouring water. Object placement. Writing. Capturing the full process from perception to action in a single workflow. #EmbodiedAI #EgoData #UMI #PhysicalAI #VIO #Robotics #SpatialAI
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LooperRobotics
LooperRobotics@LooperRobotics·
SLAM test in the lobby of the ICRA 2026 venue. Wide-open spaces. Glass reflections. Continuous foot traffic. Insight 9 maintained stable tracking. Running pure VIO with NO loop closure, it achieved near-zero drift while generating a colorful 3D point cloud in real time. 💡Note: All VSLAM & depth compute runs on-board & streams via ROS! Laptop is ONLY for registration & visualization, no extra ICP or BA. #ICRA2026 #SLAM #Robotics #PointCloud #ROS #EmbodiedAI
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LooperRobotics
LooperRobotics@LooperRobotics·
Exploring real-time data collection for Embodied AI. Object picking. Object placement. Surface wiping. Insight 9 records synchronized first-person observations and VIO trajectories, helping streamline Ego & UMI data collection workflows. #EmbodiedAI #EgoData #UMI #PhysicalAI #VIO
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LooperRobotics
LooperRobotics@LooperRobotics·
UMI & Ego data without MoCap! Insight 9 handheld VIO test for Embodied AI: ▪️ Pure on-device real-time ▪️ 0 post-processing ▪️ No loop closure ⏱️ 16.1s | 📏 2.86m | 🎯 3.2mm endpoint error #VIO #Robotics #PhysicalAI
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LooperRobotics
LooperRobotics@LooperRobotics·
At ICRA 2026, Insight 9 underwent aggressive motion testing. 🦾 Continuous shaking. Rapid movements. Unpredictable trajectories. Insight 9 maintained stable visual-inertial tracking throughout the test. #ICRA2026 #SLAM #VIO #Robotics
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LooperRobotics
LooperRobotics@LooperRobotics·
⚡️ macOS Deployment in Under 60s. Deploy Insight 9 natively on macOS with a streamlined Plug & Play workflow. Built-in Linux edge node & 10 TOPS onboard compute power real-time spatial data streaming on macOS. #ROS2 #Robotics #macOS
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LooperRobotics
LooperRobotics@LooperRobotics·
No LiDAR. Just Vision. 🤖 Outdoor slopes & smooth indoor floors challenge quadruped localization. We adopt Insight 9 + TinyNav visual odometry for stable autonomous navigation. Outdoor ➡️ Indoor transition. #Unitree #Robotics #VSLAM
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Taro Bushidō
Taro Bushidō@techietaro·
@LooperRobotics What if I train the world model to predict the light shift before the sensor catches up? Predictive perception eliminates the depth drop entirely...
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