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

Windows 11 desktop. Linux ROS 2 toolchain. Live Insight 7 data in one workflow. This quick start moves from unboxing and ROS mode selection to live RGB and stereo image streams in rqt through WSL 2 and Ubuntu 22.04. With stereo depth and VIO/VSLAM running onboard, Insight 7 helps reduce host-side integration for front-end perception and localization. Use the Bring-Up Guide that matches your firmware. #ROS2 #Robotics

That’s a wrap on #ROSCon2026 in Toronto! 🙌 Thank you to everyone who stopped by our booth at Startup Alley, SU-3, joined our stage showcase, and shared your projects, questions and ideas with us. It was great to connect with the @OpenRoboticsOrg community and be here alongside our partner @DRoboticsDev. We’re heading home with new ideas, valuable conversations and plenty of inspiration for what comes next. See you at the next one! 🤖 #ROS

Good morning from the final day of #ROSCon2026 in Toronto! 🤖 We’re back at Startup Alley, SU-3, for more conversations with the @OpenRoboticsOrg community. Stop by and say hello. #ROS

A first look at our booth at #ROSCon2026! 🤖 LooperRobotics is in Toronto with Insight 9, Insight 7 and Insight 3 Spatial AI Cameras, EgoHalo H1 for embodied AI data collection, and NavCore for robot navigation. Great to be here with our partner @DRoboticsDev and connect with the @OpenRoboticsOrg community! 📍 Startup Alley · SU-3 🎤 Robot demo: Sept 23, 12:45–13:00 EDT Stop by, meet the team and let’s talk robotics. #ROSCon #ROS #Robotics

🔥ROSCon Global 2026 — we made it, did YOU? 👀 Catch @DRoboticsDev at our partners’ booths: 📍 @AgilexRobotics Booth #48 📍 @LooperRobotics Booth SU-3 | Startup Alley RDK, #ROS 2, #Robotics, #EmbodiedAI...— come talk to us, we're so ready 🤙 #ROSCon2026

We’re thrilled to announce that D-Robotics is a sponsor of ROSCon Global 2026. From ROS 2 applications to intelligent machines in the real world — D-Robotics is bringing RDK to @OpenRoboticsOrg #ROSCon Global 2026! For us, ROS 2 is not an add-on — it is a core part of the RDK robotics development experience. Across the RDK platform, we support multiple ROS 2 distributions, while TogetheROS.Bot builds on ROS 2 with hardware-accelerated capabilities tailored for robotics. At ROSCon, we’ll be showing how RDK dev kits + ROS 2 can help developers bring edge AI from the development environment to real robotic systems, with RDK providing the computing foundation to run AI workloads closer to the robot. Find D-Robotics at our partners' booths ⬇️: 📍 AgileX Robotics Booth #48 📍 LooperRobotics Booth SU-3｜Startup Alley And you can't miss our Lightning Talk by D-Robotics Engineer Shukun Huang 🎤 AI-Native + ROS: A New Paradigm for Robot Development Got a ROS 2 project in the works? Bring your ideas, your questions, or even your toughest robotics problem. Come find us, say hi, and let’s build something interesting together. See you in Toronto! en.d-robotics.cc/blog/d-robo…

#ROSCon2026 is almost here! LooperRobotics is bringing Insight 9, Insight 7 and Insight 3 Spatial AI Cameras, EgoHalo H1 for embodied AI data capture, and NavCore for robot navigation to Toronto. Meet us and connect with the @OpenRoboticsOrg community at Startup Alley, SU-3. Our partner @DRoboticsDev will be there too. Looking forward to catching up in Toronto! 📍 Toronto · Sept 22–24 📌 Startup Alley · SU-3 🎤 Stage showcase · Sept 23 #ROSCon

One task, three complementary views. Looper Data Acquisition Package combines a head-mounted EGO view and dual wrist-mounted UMI views with RGB-D, IMU, and VIO camera pose data. See calibration, hand-joint visualization, and manipulation demos. #Robotics #EmbodiedAI

Two Insight 9 cameras run previous and updated versions side by side. This comparison shows reduced depth-map flicker after the update. Insight 9 uses learning-based stereo depth estimation for robotic perception. #ComputerVision #Robotics

Heading to #ROSCon2026? Let’s meet! LooperRobotics is excited to connect with the @OpenRoboticsOrg community to discuss VIO/VSLAM, sensor sync, embodied AI data collection, ROS integration, and what you’re building. Toronto · Sept 22 to 24 Startup Alley · SU-3 #ROSCon

During repeated tabletop impacts, the peak absolute value on a single acceleration axis reached approximately 130 m/s², exceeding 12 g. Insight 7 is a compact spatial perception camera with a 6-axis high-dynamic IMU. Its ±24 g accelerometer measurement range was selected to meet the demands of high-dynamic motion while maintaining IMU measurement accuracy. #Robotics #IMU

Before NavCore: camera, compute, router, power, cables, and wired debugging. After: NavCore and a phone. Wi-Fi, two RJ45 ports for two LiDAR sensors, 9-36 V input, 12 V output, Insight 9, NVIDIA Jetson, and TinyNav bring perception, mapping, and navigation together. #RobotNavigation #UnitreeGo2

Fast circular motion. Continuous onboard VIO. Motion blur, inter-frame displacement, and rapidly changing viewpoints put visual-inertial tracking under pressure. Rotation after rotation, Insight 7’s onboard VIO output traces a dense, connected multi-loop 3D path with no visible break or tracking reset. The computer only receives and visualizes the result. #VSLAM

Visual SLAM under fast motion. The challenge is not just speed. Motion blur. Large inter-frame displacement. Rapid viewpoint changes. Repeated swings, rotations, and direction reversals do not break Insight 7’s onboard VIO trajectory. The path remains continuous and builds into a dense, compact cluster, without jumps or resets. Pose estimation runs onboard Insight 7. The computer only receives and visualizes the output. #VSLAM

Onboard Visual SLAM Stress Test 🎥 Repeated outdoor swings build a live looping pose trajectory from Insight 7’s onboard VIO. The computer only receives and visualizes the output. #SLAM #Robotics #VSLAM

SLAM test in the park! One loop forms a real-time 3D point cloud using Insight 7's onboard VSLAM pose and depth output. 💡Note: All VSLAM & depth compute runs on-board & streams via ROS! Laptop is ONLY for registration & visualization, no extra ICP or BA. #SLAM #Robotics #PointCloud

No LiDAR. Just Vision. 🤖 Map the environment and set waypoints from a phone. Tap Start. Insight 9 VIO and stereo depth feed TinyNav running onboard, and the robot follows the route and handles the stairs without manual steering. #Unitree #RobotNavigation #VSLAM

Depth data is only the beginning of robot navigation. Insight combines RGB-D, point clouds, IMU, 6DoF pose, onboard VIO/VSLAM and AI results, with ROS-native outputs in one front end. Which layer takes your team longest to integrate? #SpatialAI #Robotics

−20°C and 50°C. 24 hours at full load for each. Insight 9 reliability validation results: • Passed all 8 commissioned environmental tests (thermal shock, salt spray, extreme temps) • 30 days of 24/7 continuous industrial operation with zero faults recorded • Delivered stable visual odometry & depth data for the Wuhan University Robotics Team at ROBOCON Sustained high-load operation causes a normal temperature rise, which did not impact device functionality under validated conditions. We continue to optimize thermal design. #Robotics #RobotVision

Building your robotics stack on Ubuntu? Skip the firmware reflashing. Instantly deploy the Insight 9 Spatial AI Camera in UVC (Standard USB) Mode natively on Linux. Physical Dual-Mode Toggle lets you switch from dedicated ROS to general UVC seamlessly. Then fire up the C++ SDK workflow to monitor: ✅ Multi-camera feeds ✅ Depth maps ✅ 3D motion visualization ✅ IMU plots & camera controls Full terminal-to-GUI setup guide.👇 #Robotics #ComputerVision