arventiqlabs.com Bengaluru, India
Robotics, Drones & IoT · Intermediate

Robotic arm pick-and-place trainer using vision

IOT-09 · Original hackathon problem statement from Arventiq Labs

The problem

Teaching robotics needs affordable hardware and tasks that show real concepts.

What to build

Build a low-cost arm that learns to pick and place objects of different shapes from camera input.

Success looks like

A repeatable success rate above 80% on a defined object set with a documented calibration procedure.

Suggested technologies

  • Computer vision
  • Inverse kinematics
  • ROS
  • Servo control
  • Calibration

An original, independent statement. It is not an official Smart India Hackathon problem statement, and Arventiq Labs is not affiliated with or endorsed by that programme. The scenario is illustrative and does not describe any specific organisation. Free to use with credit.