Mercury X1 Recognizes Keyboard For Automated Typing
This case study introduces the Mercury X1, a wheeled humanoid robot (19 DOF) using an arm-mounted camera, NVIDIA Jetson Xavier controller, and a myCobot Pro gripper to recognize keyboard keys and perform precise typing operations. It uses STag markers, OpenCV, and pymycobot for hand-eye calibration, left/right hand mapping, and coordinate transforms, demonstrating practical automated office-typing capabilities and integration with ROS, MoveIt, Gazebo, and MuJoCo.
Key Points
- 1Implements vision-based keyboard recognition using STag markers, OpenCV, and an arm-mounted camera
- 2Integrates 7-DOF arm, NVIDIA Jetson Xavier, and pymycobot for precise typing and autonomous control
- 3Enables programmable left/right hand mapping, hand-eye calibration, and coordinate transforms for reliable keypress automation
Scoring Rationale
Practical, implementable robotics demo with concrete code and hardware details, limited by single-project scope and not peer-reviewed.
Sources
Public references used for this report.
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