Robotic and AI systems
for Clients.
We design and build robotics and AI systems
for real-world requirements.
Project
Autonomous Navigation
Our robotics technologies span indoor and outdoor navigation, sensor fusion, and systems integration, backed by hands-on project experience.
What we do
Our Technologies
AI Perception and Navigation
Deep learning perception enables robots to understand their surroundings and make intelligent navigation decisions.
Autonomous Navigation in Real Environments
Combine sensor-based perception and motion control to build reliable autonomous navigation systems for real roads.
Simulation-Based Autonomous Navigation
Design and validate autonomous navigation algorithms in simulation to improve development efficiency and reliability.
Highway Work Zones
Developing a Safety Robot for Autonomous Navigation
Completed a 7 km route on a real highway
- Requirements:
- Developing a robot for highway shoulder navigation
- Our Work:
- Deep learning lane detection and ROS 2 package integration
Lane Detection
Navigation Algorithm Development
Virtual Simulation
Carla + Autoware
- Requirements:
- Setting up a ROS 2 environment with CARLA and Autoware to support a new service development team
- Our Work:
- Documentation and team setup
CARLA ROS 2 bridge
Planning Simulation
Launching an Autoware scenario
Integrating Deep Learning
Owner-Following for a Golf Caddie Robot
- Our Work:
- Owner-following functionality
(On fairways and between holes)
Robot following its owner on the fairway
Robot following its owner on a road between holes
Robot view: Green recognition
Robot view: Road recognition