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 Edilen339 Takipçiler
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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LooperRobotics
LooperRobotics@LooperRobotics·
@AIFlow_ML YEAH! We remember you❤️🙇‍♀️The small one is planned to be in this year, right now under development.
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LooperRobotics
LooperRobotics@LooperRobotics·
No LiDAR. Just Vision. 🤖 Smooth floors easily cause slippage and inaccurate leg odometry. We adopt Insight 9 + TinyNav visual odometry for stable navigation and obstacle avoidance. Process: Scanning ➡️ Mapping ➡️ Navigation. #Unitree #Robotics #VSLAM
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LooperRobotics
LooperRobotics@LooperRobotics·
Insight 9 v2.0.0 is HERE!🚀 Seamless Spatial Intelligence. Physical button ROS & UVC toggle. No reflashing. Standard UVC: Plug-and-play + Pro Player. NTP Sync: Microsecond precision. Ultimate vision sensor, massive brain upgrade. #Robotics #ROS #UVC #Insight9
LooperRobotics tweet media
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LooperRobotics
LooperRobotics@LooperRobotics·
@robotics_alphax Insight 9 VIO yields 0.2% relative accuracy (drift <20cm/100m). While drift is inherent, TinyNav uses mapping & relocalization to "reset" errors via recognized landmarks, ensuring high precision for long-range missions.
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Robotics Alpha
Robotics Alpha@robotics_alphax·
@LooperRobotics how much position drift builds up with Insight 9 and TinyNav over longer runs without any leg odometry corrections?
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LooperRobotics
LooperRobotics@LooperRobotics·
No LiDAR. Just Vision. Leg odometry can be inaccurate due to slippage, changing footholds & body motion. We use pure visual odometry with Insight 9 + TinyNav as the primary source. Full workflow: Scanning ➡️ Mapping ➡️ Navigation. #Unitree #Robotics #VSLAM
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LooperRobotics
LooperRobotics@LooperRobotics·
Testing vision-only navigation on Unitree GO2. Leg odometry is unreliable on quadrupeds due to slippage and body motion, so we use pure visual odometry with Insight 9 + TinyNav as the primary source. How far can vision-first take legged robots? #Robotics #Unitree #ComputerVision
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LooperRobotics
LooperRobotics@LooperRobotics·
@epichrisis Thank you so much for the kind words! It means a lot to our team.
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LooperRobotics
LooperRobotics@LooperRobotics·
SLAM test on the spiral stairs! Insight 9 handles curved paths & elevation changes, mapping a clean 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. #SLAM #Robotics
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LooperRobotics
LooperRobotics@LooperRobotics·
SLAM test on the colored stairs! Insight 9 beats repetitive structures & Z-drift, mapping a vibrant RGB-D 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. #SLAM #Robotics
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LooperRobotics
LooperRobotics@LooperRobotics·
VSLAM robustness test! 🚀 Watch Insight 9 handle rapid hand shaking, robotic arm swings, complex trajectories, and sudden obstacles! It maintains continuous tracking and stable pose estimation even under high-dynamic conditions! 🦾 #SLAM #Robotics #EmbodiedAI #VSLAM
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