Contact person: Business Client

Phone:Show

Email:Show

Location: Santa Clara, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I already have the ​xArm 7-DoF robot with gripper, an Intel RealSense depth camera, XarmStudio, plus help with a mobile 2020-extrusion frame with wheels and battery. Now I need the software layer that turns all this hardware into a truly useful household helper.

Here is what I expect the finished solution to do: work entirely offline, see common household items, electronic devices and charging cables through the RealSense camera , decide where each object belongs, pick it up with the gripper, and place it accurately. A special case is the Tesla charge port: the arm must recognise the connector, align, and insert the cable reliably.

Everything should be controlled from an iOS app that lets me trigger tasks, view live camera and depth data, adjust way-points and read battery status; Wi-Fi or local Bluetooth is fine as long as the system never depends on a cloud connection. Under the hood I imagine ROS 2, MoveIt, OpenCV, TensorFlow/YOLO or any combination you are comfortable with, as long as it runs on the on-board computer and communicates with XarmStudio.

Deliverables I need from you:
• Vision and grasp-planning module that recognises the three object classes above and outputs pick/place poses.
• Motion-planning bridge that converts those poses into xArm scripts callable directly from XarmStudio.
• Native iOS app (Swift/SwiftUI) with local networking to start jobs, display status and allow manual overrides.
• Clear build instructions and offline installers so I can re-flash or update the system without external servers.
• A short video or live demo proving the robot locates a household item, stores it, and connects the Tesla cable.

If you have prior experience with RealSense, ROS, or similar robotic pick-and-place projects, please let me know; sample clips or repos are a plus." (client-provided description)