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General| Robot Type | Collaborative Robot |
|---|---|
| Weight | 75 kg (165 lbs) |
| Payload Capacity | 2.2 kg (4.9 lbs) per arm |
| Communication Interface | Ethernet |
| Operating System | Linux |
| Programming Languages | Python, C++ |
| Degrees of Freedom | 7 per arm |
| Reach | 1.2 m |
| Power Supply | 100-240V AC, 50/60Hz |
| End Effector | Electric Parallel Gripper (Optional, various options available) |
| Vision System | Integrated vision system in the head (camera) |
| Sensors | Force-torque sensors, cameras |
| Software | SDK based on ROS (Robot Operating System) |
Guide to quickly setting up and running a basic pick and place task.
Steps to create a new task and grasp an object for training.
Definitions of tasks, sub-tasks, actions, and sequences.
Step-by-step guide for training basic pick/place and using vision.
Adjusting camera settings for optimal object recognition.
Reordering, combining, and coordinating tasks and sub-tasks.
Adjusting actions, search areas, counts, and custom paths.
Training and modifying hold actions for various purposes.
Fine-tuning arm and end-effector positions for accuracy.
Steps for creating landmarks and associating them with actions.
Process to re-align Baxter to a landmark after position changes.
Linking signals to tasks, subtasks, or actions for control flow.
Steps for resolving common issues and calibrating Baxter's arms.
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