Hand-Eye Coordination + Mobile Base: What New Possibilities Can JetArm Pro Unleash?

Traditional robotic arms are often confined to the static range of their fixed base. JetArm Pro shatters this limitation with its Mecanum wheel or tracked mobile base. Paired with a high-performance binocular structured-light depth camera at its end-effector, JetArm Pro can not only obtain real-time 3D coordinates, shape, and depth information of target objects but also autonomously plan paths and “actively move” toward targets. This means it can patrol an area, locate scattered items, and pick-and-place them one by one—transitioning from “waiting for tasks” to “seeking tasks.” This process relies deeply on Hiwonder’s self-developed advanced inverse kinematics algorithm, ensuring the robotic arm can quickly and accurately adjust joint angles whether stationary or in motion, achieving true “grasp wherever it goes.”

In simulated industrial sorting scenarios, JetArm Pro's capabilities stand out. When combined with an electric conveyor belt extension, it can serve as an efficient fixed-point sorting unit. However, with the mobile base added, the complexity and intelligence of the scene reach a new level. For instance, the robot can autonomously move to different sections of the conveyor belt and dynamically sort items based on visual recognition results, such as type or flow direction.

Additionally, when integrated with multi-dimensional AI models like Tongyi Qianwen or DeepSeek, it can comprehend more complex natural language instructions, such as “Collect all red blocks into the left box.” AI models not only enhance the naturalness of interaction but also empower the robot with simple task planning and decision-making, giving the mobile grasping and sorting process greater autonomy and adaptability.

“Embodied intelligence” emphasizes an agent’s ability to learn and complete tasks by interacting with the environment through its physical form. JetArm Pro's “hand-eye coordination + mobile base” architecture makes it an ideal platform for exploring embodied intelligence. The robot can expand its perception range through movement, understand the spatial relationships of objects in 3D via depth vision, and validate its decisions through physical operations performed by the robotic arm. For example, to accomplish a “tidy the desk” task, it needs to move and search for items, recognize and classify them, plan grasping sequences and obstacle-avoidance paths, and finally place them in designated locations. This closed-loop process vividly demonstrates the complete cycle of perception, decision-making, and execution. Hiwonder provides comprehensive open-source resources and courses—from ROS2 development frameworks and MoveIt motion planning to AI model deployment—enabling learners and researchers to dive deep into this cutting-edge field.

JetArm Pro’s “fusion of capabilities” vividly reflects Hiwonder’s forward-thinking approach to educational robot design: robots should not be functional silos but collaborative intelligent agents that integrate perception, mobility, and manipulation. By organically combining depth vision, inverse kinematics algorithms, a mobile platform, and AI models, JetArm Pro not only greatly expands the boundaries of teaching and creative projects but also elevates the robotics learning experience from simple programming control to an understanding of complex system integration and real-world problem-solving. It invites every user to start from the desktop and step into a broader, more dynamic world of intelligence.