Industry Solution Service Provider for Embodied AI
Expediting the deployment of Embodied AI via Physical Simulation and Synthetic Data
Industry Solution Service Provider for Embodied AI
Expediting the deployment of Embodied AI via Physical Simulation and Synthetic Data
Through Physical Simulation and Generative AI, we help our customers quickly build digital scenes and synthetic data for AI model training and enterprise-level simulation services.
Products and Solutions
AI Defect Detection
Effectively generate synthetic data for various material surface scratches, damages, and other defects, 100 times accelerating data collection and model training iteration.
Smart Forklift Employing Physical Simulation and Synthetic Data
Enhanced with autonomous driving technology,10 times accelerating deployment efficiency of existing storage and transportation
AI-Empowered Flexible Grasping
Accurately physical simulation greatly speeding up algorithm iteration and real deployment.
Educational RoboCup Soccer Competition
Synthetic data is used to supplement perception training data, enhancing effectiveness of perception models.
Service Delivery Type
Synthetic Data
Provide physically-accurate synthetic data, e.g. realistic image data, depth data and corresponding annotation, effectively solve lack of data for AI models training in specific scenarios.
Simulation Platform Service
Provide physically accurate embodied AI simulation platform. Support for customer robot model import, sensor modeling and simulation, trajectory and control simulation.
Customerized Services
Provide support for deep learning and reinforcement learning model training, Sim2Real (simulation to real-world) transfer, assisting customers in deploying perception and control models from simulation to real-world.
Application Industry
Intelligent Manufacturing / 3C Electronics
Factory Logistics
Retail
Tunnels and other underground spaces
About Us
Founder
Dr. Luo Xi, obtained her master’s degree from Vanderbilt University, USA, under Professor Kawamura Kazuhiko, founding Chairman of the IEEE Human Robotics Technology Committee and her doctorate from University of Nottingham. She has more than 15 years’ experience in humanoid robot algorithm and simulation technology, from research to industry.
Team
Our expert team members come from areas of robotics, autonomous driving algorithm, simulation technology, industrial design, high performance heterogeneous computing etc.
Specialization
Robotics simulation, development of data-driven AI models, optimization of deep learning chip-level models, procedural content generation and physical simulation.
Success Stories
Our team has delivered over 2 million synthetic data frames for embodied AI/autonomous driving, accumulating an amount of successful application cases.