SLAM+AI: Experience Next-Level Embodied Intelligence

Building on traditional SLAM mapping and navigation, Hiwonder has innovatively integrated large AI models, creating several industry-first interactive applications. What new and exciting embodied intelligence experiences does this unlock? Let's take a closer look.

First, create a fun maze scene and let JetRover map the maze. Place boxes and color blocks in random locations throughout the maze, and mark their positions on the map. Now, just give JetRover the command: "Put each color block into the box that matches its color, then return to the starting point."

Once it receives the command, JetRover springs into action:

Step 1: It comprehends the instruction and responds instantly.

Step 2: It navigates to the block locations using SLAM.

Step 3: The depth camera accurately detects the red, green, and blue blocks while calibrating the robot's posture.

Step 4: The robotic arm employs inverse kinematics to precisely grasp each block.

Step 5: It navigates to the corresponding boxes and places each block in its matching box.

Step 6: After completing all tasks, Hiwonder JetRover automatically returns to its starting position.

By now, you might be wondering: how does a robot take complex instructions and turn them into precise, step-by-step actions?

With a multimodal AI model, JetRover car robot can seamlessly process text, voice, and visual information. It can engage in voice interaction, recognize images, and understand scenes—all without the need for separate model training—truly elevating JetRover into an embodied intelligence robot.

With the help of a LLM (large language model), JetRover robot car can interpret and analyze voice commands with remarkable accuracy. Even without step-by-step instructions, it understands what you mean, infers intent through reasoning, and decides the best order of actions. It plans its route on the fly and executes each task with precision.

To deliver such precise and efficient performance, JetRover AI robot relies on powerful hardware and a smart, well-structured control system. Its SLAM mapping and navigation act as the robot's eyes and spatial memory, fusing data from the LiDAR, high-precision encoder motors, and IMU gyroscope. This enables JetRover to scan its surroundings in real time, build detailed maps, and accurately track its position to avoid getting lost. It also supports multi-point navigation and dynamic obstacle avoidance for smooth, intelligent movement.

Beyond LiDAR-based positioning, JetRover is equipped with a 3D depth camera that greatly enhances its spatial awareness. Using AI vision, it can recognize target objects and determine their precise coordinates, enabling accurate localization. Combined with its built-in inverse kinematics algorithm, JetRover can precisely grasp objects in three-dimensional space with remarkable accuracy.

True embodied intelligence isn't about piling on complex technologies — it's about making robots genuinely useful and fun. JetRover's SLAM and AI model combination does exactly that, offering both practicality and playfulness. It's a must-try for anyone curious about exploring AI.