AI & 3D Vision: A New Paradigm for Embodied Intelligence

At the heart of Hiwonder LanderPi lies a clearly structured multimodal AI system. It's not just about running a large model — it's about deeply integrating language understanding, voice interaction, and visual perception to give the robot human-like, unified decision-making capabilities.

By integrating a large language model at its core, Hiwonder LanderPi truly understands the meaning and intent behind what you say. Whether it's a navigation request like "Go to the soccer field" or a manipulation task such as "Sort out the red blocks," it translates commands into structured task logic it can autonomously execute. This capability transforms the robot from a passive code follower into an AI collaborator — one that understands context and even engages in multi-turn dialogue.

Equipped with a dedicated AI voice interaction module, LanderPi elevates communication from simple text-based commands to fully natural dialogue. Its built-in noise-canceling microphones and high-quality speakers ensure it can accurately capture instructions and provide voice feedback even in noisy environments. Seamless voice interaction lets you control LanderPi easily, as if chatting with a friend, making it accessible to everyone.

The ultimate power of multimodal AI lies in decision-making. LanderPi's brain integrates data from visual sensors, LiDAR, and other sources to plan and break down complex tasks autonomously. For example, when given a command like "Track objects that match the color of the sky," it can independently scan the environment, identify targets, and execute tracking and grasping — forming a fully intelligent perception-to-action loop.

If the large AI model serves as LanderPi's decision-making hub, then its high-precision 3D vision system acts as the robot's eyes, providing the spatial understanding necessary for accurate perception and precise manipulation.

Equipped with a high-performance 3D structured-light depth camera, LanderPi overcomes the limitations of traditional 2D vision. It captures both color and depth information simultaneously, generating a high-precision point cloud map of its surroundings in real time. LanderPi not only identifies a red block, but also measures its 3D location, dimensions, orientation, and volume, capturing all the spatial details needed for precise manipulation.

Powered by a YOLOv11-based deep learning algorithm, LanderPi can identify and classify targets in RGB images within tens to hundreds of milliseconds. By fusing calibrated depth and point cloud data, it can also determine the target's spatial position. Whether sorting color blocks or other objects, the system quickly and reliably locks onto targets, providing precise input for subsequent grasping and manipulation tasks.

Perception only matters when it leads to precise action. Leveraging Hiwonder's proprietary advanced inverse kinematics algorithms, LanderPi converts the 3D coordinates captured by its vision system into precise joint movements in real time. This enables the robot to perform complex tasks in 3D space — from stable tracking and accurate grasping to autonomous transportation — achieving true hand-eye coordination in action.

LanderPi's key advantage lies in deeply coupling the cognitive decision-making capabilities of multimodal AI with the spatial perception of 3D depth vision, creating a fully intelligent loop: understand commands → analyze the environment → plan paths → execute with precision. This fusion not only overcomes the limitations of single-mode perception, but also ensures seamless coordination from sensing to action. Built on this robust technology framework, LanderPi easily handles a wide range of AI applications, including color tracking, voice control, autonomous navigation, scene understanding, and visioin tracking.

Take vision tracking as an example. When you say to LanderPi: "How many animals are in front of you? Lock onto the duck and track it." Here's how the robot understands and executes the task:

Once the visual system accurately identifies a target, LanderPi's intelligent engine immediately devises an optimal execution plan and translates it into real-world action through its precise motion control system. The end-to-end intelligent processing allows LanderPi to perform reliably across a variety of complex scenarios.