Yahboom JetCobot 7-DOF Visual Collaborative Robotic Arm for Jetson Nano B01 4GB/Orin Nano SUPER/Orin NX SUPER

Compare JetCobot with other ROS master-control options to choose the right platform for your application.

Multiple Yahboom arm platforms share a similar ROS workflow, while hardware and vision options vary by model.

Depth-camera configurations support 3D vision tasks such as distance-aware tracking and interaction.

JetCobot focuses on a 7-DOF UR-like structure with millimeter-level repeatability for coordinated motion tasks.

Yahboom JetCobot is a desktop 7-DOF visual collaborative robotic arm built around NVIDIA Jetson control boards.

A complete software stack supports ROS control, MoveIt planning, RViz visualization, and OpenCV-based vision.

Select Jetson Nano B01, Orin Nano SUPER, or Orin NX SUPER based on the compute needed for your AI pipeline.

A clear Jetson comparison helps match CPU/GPU and memory capacity to ROS and vision workloads.

Performance varies by Jetson controller, while the JetCobot feature set and course examples remain consistent.

The UR-like configuration provides a wide range of motion with a cleaner build for classroom and lab use.

A 7-DOF layout improves flexibility for positioning, grasping, and path planning in tight workspaces.

An integrated USB camera enables visual picking and sorting workflows without complex external camera setups.

Built-in demos cover color recognition, block sorting, tag-based stacking, and tracking-based interaction.

Use deep-learning model training and MediaPipe gesture interaction to build more responsive pick-and-place tasks.

MoveIt and URDF models support simulation, trajectory planning, and collision checking before running on hardware.

Control JetCobot through a browser-based Jupyter environment or a USB gamepad for quick testing and demos.

Inverse kinematics enables coordinate input for repeatable positioning and consistent end-effector orientation.

Seven joints (J1–J7) provide extra flexibility for motion planning and coordinated grasping.

JetCobot offers a 270mm maximum effective arm span (without gripper), with J1 base rotation of ±153° and ±0.5mm repeatability.

JetCobot is built around the ROS Robot Operating System and lists compatibility with ROS2 Humble and ROS1 Melodic.

MoveIt simulation support lets the JetCobot robotic arm be tested and controlled in a virtual environment before running on hardware.

The JetCobot arm kit combines a gripper, USB HD camera, OLED screen, and a suction-cup base for stable desktop setups.

The JetCobot arm pairs a USB HD camera (480p, 30 fps, 110° field of view) with a compact electric gripper for vision-guided picking and placement tasks.

The JetCobot curriculum covers setup and assembly, ROS/Ubuntu basics, SLAM mapping, AI vision with MediaPipe, and visual tracking and grasping exercises.

JetCobot tutorial materials include organized download folders and course content such as AI visual basics and Mediapipe, with a study link at yahboom.net/study/JetCobot.

JetCobot learning resources include AI visual tracking and grabbing courses, MoveIt tutorials, ROS2 basics, and open Python source code.

JetCobot with gripper dimensions are provided in millimeters to help plan mounting space and overall arm clearance.

JetCobot supports Python programming with ROS options for Jetson Nano B01 and Jetson Orin Nano/NX, plus a fixed-focus 0.3MP camera (480P, 30fps, 110° wide angle).

The JetCobot kit includes the gripper, USB camera, chassis components, power adapter, and wiring, with optional Jetson Nano/Orin accessories listed.