📘 How To Use Plain English → AI Robot Studio
📝 Step 1: Describe Your Task
Type a command in plain English. Be as specific as possible about actions, objects, and coordinates.
⚙️ Step 2: Select Robot Feature
Choose which AI capability to apply (Object Detection, Path Planning, etc.) for accurate code generation.
🔧 Step 3: Convert or Simulate
Click "Convert to Robot Code" to generate executable instructions. Click "Simulate" to see a digital twin preview.
📋 Step 4: Copy or Download
Copy the generated code to your clipboard or download it as a .robot file for your robot controller.
💡 Pro Tips
- Use the Sample button for example commands.
- Validation checks: missing coordinates, unknown objects, path feasibility.
- Supports complex sequences: "pick A, then place at B while avoiding obstacles".
- Works with ROS, Arduino, and custom robot APIs.
# Example Command:
"Navigate to room 203, scan for humans, and report if any are detected. Then return to base."
# Generated Code:
NAVIGATE_TO(room='203')
ENABLE_SCANNER(type='lidar+thermal')
DETECT_HUMANS()
IF detection_count > 0 THEN REPORT('Humans detected')
RETURN_TO_BASE()
❓ Frequently Asked Questions
What robot platforms are supported? ▼
We support ROS (Robot Operating System), Arduino, Raspberry Pi, ABB, KUKA, Universal Robots, and custom APIs via plugins. The generated code can be adapted to any platform.
How accurate is the NLP to code conversion? ▼
Our AI model achieves >90% accuracy for standard commands. For complex or ambiguous instructions, it provides suggestions and highlights missing parameters. It continuously learns from corrections.
Can I simulate before deploying to a real robot? ▼
Yes! The "Simulate" button launches a Digital Twin environment where you can visualize robot movements, test path planning, and debug logic without hardware risk.
Is my data secure? ▼
Absolutely. All processing happens in your browser for the free version. Enterprise plans offer on-premise deployment for maximum security.
What are the 7 core AI features? ▼
Object Detection & Tracking
Robotics Path Planner
Behavior Logic Designer
Digital Twin Simulator
Fleet Task Scheduler
Robot Security Scanner
NLP Voice Command Trainer
Does it work with multi-robot fleets? ▼
Yes, the Fleet Task Scheduler can coordinate up to 100 robots, handling task allocation, collision avoidance, and centralized monitoring.
How do I train custom voice commands? ▼
Use the NLP Voice Command Trainer. Speak or type phrases, map them to robot actions, and the system learns your vocabulary and accent over time.