Research & Development

Access cutting-edge research tools, development resources, and performance benchmarks for humanoid robotics.

Humanoid Performance Benchmark

Compare and analyze humanoid robot performance across multiple metrics and scenarios.

Benchmark Controls

Current Leader

Atlas
Walking Speed Test
2.5 m/s
95% accuracy

Performance Comparison

2.5
Speed (m/s)
95
Accuracy (%)
87
Efficiency (%)
92
Stability (%)

Research Tools

Access powerful tools for humanoid robotics research and development.

AI Training Environment

Reinforcement learning environment with real-time visualization and distributed training support.

• Real-time neural network training
• Multi-agent reinforcement learning
• Performance monitoring dashboard
• Model versioning and comparison

Data Analytics Platform

Advanced analytics platform for processing and visualizing humanoid robot performance data.

• Real-time data processing
• Interactive visualization tools
• Statistical analysis features
• Export capabilities

Code Generator

Generate optimized code for various humanoid robot platforms and control systems.

• Multi-language code generation
• Platform-specific optimization
• Template library
• Code validation tools

Simulation Engine

High-fidelity physics simulation engine for testing humanoid robot behaviors in virtual environments.

• Realistic physics simulation
• Custom environment creation
• Multi-robot scenarios
• Performance optimization

Research Papers

Access our comprehensive library of research papers and publications on humanoid robotics.

• Peer-reviewed publications
• Conference proceedings
• Technical reports
• Research methodologies

Collaboration Hub

Connect with researchers worldwide and collaborate on humanoid robotics projects.

• Research collaboration
• Project sharing
• Expert network
• Community forums

Datasets & Resources

Access high-quality datasets and development resources for humanoid robotics research.

2.3 GB

Human Motion Dataset

Comprehensive dataset of human motion patterns for training humanoid robots in natural movement.

• 50,000+ motion sequences
• Multiple activity types
• High-resolution tracking data
• Annotated behaviors
5.7 GB

Object Recognition Dataset

Large-scale dataset for training computer vision models in humanoid robots for object recognition.

• 500,000+ images
• 1,000+ object categories
• Multiple environments
• Bounding box annotations
1.8 GB

Speech Interaction Dataset

Dataset for training natural language processing models in humanoid robots for human interaction.

• 10,000+ conversation samples
• Multiple languages
• Emotional context
• Intent annotations
3.4 GB

Dynamic Balance Dataset

Sensor data from balance control experiments for training stable locomotion algorithms.

• IMU sensor data
• Force feedback data
• Balance recovery patterns
• Terrain variations

Human-Robot Interaction

Dataset of human-robot interaction scenarios for training social interaction capabilities.

• Interaction scenarios
• Social behavior patterns
• Gesture recognition data
• Response effectiveness
4.2 GB

Manipulation Skills Dataset

Comprehensive dataset of manipulation tasks and object handling for training dexterous control.

• Grasping techniques
• Object manipulation
• Tool usage patterns
• Precision measurements

API Documentation

Integrate NeoRobotics humanoid robots with your applications using our comprehensive API.

API Endpoints

GET /api/v1/robots 200 OK
List all available robots
Returns: { robots: [...] }
POST /api/v1/robots/{id}/control 201 Created
Send control commands to robot
Body: { action: "walk", params: {...} }
GET /api/v1/robots/{id}/sensors 200 OK
Get real-time sensor data
Returns: { sensors: {...}, timestamp: "..." }
WebSocket /api/v1/stream 101 Switching
Real-time data streaming
Protocol: WebSocket with JSON messages

Code Examples

Python SDK

import neorobotics as nr

# Initialize robot connection
robot = nr.HumanoidRobot(api_key="your_api_key")

# Connect to robot
robot.connect("atlas_001")

# Send movement command
robot.walk(distance=2.0, speed=1.5)

# Get sensor data
sensors = robot.get_sensors()
print(f"Battery: {sensors['battery']}%")

# Perform manipulation task
robot.grasp(object_id="cup_001")
robot.move_to(position=[1.0, 0.5, 0.8])
robot.release()

# Disconnect
robot.disconnect()

JavaScript SDK

const NeoRobotics = require('neorobotics-sdk');

// Initialize robot
const robot = new NeoRobotics.HumanoidRobot({
  apiKey: 'your_api_key'
});

// Connect to robot
await robot.connect('atlas_001');

// Send commands
await robot.walk({ distance: 2.0, speed: 1.5 });
await robot.turn({ angle: 90 });

// Get real-time data
robot.on('sensorUpdate', (data) => {
  console.log('Sensor data:', data);
});

// Perform complex task
await robot.grasp({ objectId: 'cup_001' });
await robot.moveTo({ position: [1.0, 0.5, 0.8] });
await robot.release();

await robot.disconnect();