Autonomous Robot Car with Depth Camera turns hallways and tabletops into real-world testbeds for perception, mapping, and control. Power on, tap start, and the depth camera streams rich 3D data while onboard compute runs SLAM to build a live map—no markers, no fuss. The chassis stays nimble with a low center of gravity, grippy tires, and smooth steering, so it threads between chair legs and docks with precision. RGB LEDs and a status chime keep feedback clear as it explores, avoids obstacles, and follows planned routes.
Out of the box, guided modes cover point-to-point navigation, patrol loops, and follow-target demos. Switch to the app to drop waypoints on a mini map, draw virtual no-go zones, and tune speed or clearance in seconds. For builders and classrooms, the SDK offers Python/C++ APIs and ROS integration, giving access to depth frames, odometry, and velocity control. Add behaviors—wall follow, doorway align, QR docking—or mount extras on the top rail: a gripper, extra sensors, or a small display.
Safety and reliability are built in: e-stop button, soft software limits, obstacle inflation for safe paths, and graceful stop on low battery. Maintenance is simple—wipe lenses with a microfiber cloth, pop dust from cooling vents, check tire set screws, and recalibrate IMU after travel. Whether you’re teaching autonomy, prototyping indoor delivery, or running STEM challenges, an Autonomous Robot Car with Depth Camera delivers dense perception, stable navigation, and a developer-friendly stack that grows with your ideas.
