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1
Introduction
2
Project Context
3
Why Synthetic Data
4
Demo
5
Data generation
6
Domain randomization
7
Component setup
8
Modular system
9
Example results
10
Simulation validation
11
Results
12
QA Session
13
Challenges
14
Super personalization
15
Real AI deployment
16
AI replacement
17
Outro
Description:
Explore the potential of AI in industrial robotics through this 27-minute Unite Now 2020 conference talk. Discover how to train AI for robotics using Unity, bypassing time-consuming data collection. Gain insights into domain randomization from Cross Compass experts and learn about the future of robotics from Accenture. Delve into topics such as synthetic data generation, modular system setup, simulation validation, and real-world AI deployment. Hear from speakers Daniel Majonica and Hitoshi Yoshida from Cross Compass, as well as Sang Kyeong Sohn from Accenture, as they discuss challenges, super personalization, and the potential for AI replacement in the industry.

Training and Deploying AI for Industrial Robotics - Unite Now 2020

Unity
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