(Dr. APJ Abdul Kalam Research Zero Funding Initiative)
Select what you want to build or run an existing GARRF-generated Python script:
Comparative breakdown of kinematics, control methods, and precision standards:
| Architecture Parameter | Autonomous Service Base (Cleaning/Assist) | Medical / Surgical Console (da Vinci) |
|---|---|---|
| Primary Mission | Macro-navigation, floor cleaning, moving objects, and room delivery. | Sub-millimeter human tissue incision, suturing, and laparoscopy. |
| Control Mode | Autonomous SLAM: Navigates using LiDAR, wheel encoders, and path planning. | Master-Slave Teleoperation: Surgeon controls hand grips; never moves on its own. |
| Target Precision | ± 2 to 10 mm: Wheel slip, carpet friction, and obstacle thresholds. | ± 0.005 mm (Sub-millimeter): Tremor-filtering and cable capstans. |
| Kinematic Core | Differential Drive Base: Steerable wheels with an upper assistive arm. | Remote Center of Motion (RCM): Fixed incision entry point pivot. |
| Drive Mechanics | High-torque planetary BLDC/DC motors and timing belts. | Tungsten cables & capstan drums with zero backlash. |
In the physical world, robots execute trajectory motions through Python motor drivers and ROS2 / MoveIt controllers. Run this script in any Python IDE (VS Code, PyCharm, Jupyter) to plot and direct the 3D traverse path!