DOFBOT Pro 6-DOF 3D Depth Vision Robotic Arm for Jetson Nano 4GB / Orin Nano SUPER / Orin NX SUPER

Compare popular desktop robotic arm options at a glance, including degrees of freedom, reach, gripper range, and control platforms.

A quick spec snapshot helps choose the right model for ROS learning, simulation, and basic vision tasks.

DOFBOT-PRO combines a 6-DOF arm, RGB+D depth sensing, and Jetson compatibility for 3D perception and grasping development.

Alternative configuration details are provided for users who need a different arm structure and camera setup.

Built for ROS education and development, the kit pairs a compact 6-DOF arm with depth vision and an integrated desktop-style setup.

Designed for motion planning and perception workflows such as kinematics, target recognition, tracking, and grasping in 3D space.

Key modules cover depth perception, AI interaction concepts, and software frameworks used in common robotics pipelines.

Hardware and software highlights summarize what’s included for building vision + ROS demos and classroom experiments.

Multiple Jetson board options help scale from entry-level prototyping to higher-performance AI workloads.

Use the configuration matrix to match the controller board and feature set to your ROS project requirements.

Depth vision adds distance-aware understanding for more reliable positioning, recognition, and grasp planning than 2D alone.

Arm-camera calibration supports tasks like point-cloud recognition and depth-based measurement for 3D-space interaction.

Multimodal interaction concepts include text, voice, and vision capabilities for building richer human–robot workflows.

Application examples focus on sorting and handling behaviors that combine perception with command-driven control.

Practical demos showcase tracking, sorting, and action selection tasks built around vision and interaction logic.

Interactive challenge-style activities provide approachable scenarios for testing perception, reasoning, and control loops.

Vision recognition examples cover color-based tracking, block sorting, interactive games, and label-based stacking.

Training notes and performance curves outline the included deep-learning workflow direction for object detection tasks.

DOFBOT Pro supports MediaPipe-based gesture interaction, forward/inverse kinematics, and MoveIt simulation control for setup and development workflows.

DOFBOT Pro supports MoveIt kinematics simulation with trajectory planning, collision detection, and ROS/ROS2 (Humble) workflows for motion control.

DOFBOT Pro supports app control, web control, and a USB wireless remote, with a 6-DOF joint layout labeled J1–J6 for precise setup and movement planning.

The DOFBOT Pro 6-DOF robotic arm pairs a Jetson-based control board with a DaBai DCW2 depth camera and intelligent serial bus servos for vision-guided motion projects.

The DOFBOT Pro setup includes a robotic arm expansion board layout and supports add-ons like a voice module and a 10.1-inch touch screen for control.

The DOFBOT-PRO course outline breaks down the training modules and learning goals to help plan setup and development steps.

DOFBOT Pro includes organized open-source code and step-by-step tutorial folders covering 2D/3D visual tracking, sorting and gripping, and depth camera workflows.

DOFBOT Pro includes downloadable video tutorials, ROS2 learning materials, a 3D model file, and open-source Python code for development on Jetson boards.

Dimension drawings and a spec overview help you plan mounting space and system integration for the DOFBOT Pro 6-DOF robotic arm.

The DOFBOT Pro kit includes the robotic arm with a set of standard accessories such as controller hardware, power and data cables, and basic tools for assembly and setup.