⚡️ 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
Insight 9 FOV & HDR Challenge! 💡
Sudden light transitions can cause exposure lag & depth data loss in Embodied AI vision, while a narrow FOV limits perception.
#EmbodiedAI#Robotics#ComputerVision#VSLAM
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
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
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
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
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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