WoRV Team is Hiring!
Job Introduction - Visual SLAM Researcher
As a Visual SLAM Researcher, you will focus on developing Localization technologies that utilize camera sensor data to determine a robot's position in industrial environments.
WoRV (World Model for Robotics and Vehicle Control) team is creating a general-purpose Foundation Model that integrates text, images, videos, and actions to solve robotics and autonomous driving challenges.
WoRV team is advancing and commercializing the SketchDrive project.
The goal of SketchDrive is to develop a navigation agent that:
- Drives like humans, using a single model to navigate various environments by reading maps, following language instructions, and interpreting visual inputs.
- Understands human intent like humans, interpreting contextual cues from instructions to navigate accordingly.
For more details, visit SketchDrive Project Introduction.
Research findings from the SketchDrive project have been published in academic conferences under the name CANVAS.
Key Responsibilities
- Contribute to the SketchDrive project:
- Research Localization technologies using Visual Foundation Models.
- Study vision-based Odometry, Localization, SLAM (Simultaneous Localization and Mapping), and VSLAM(Visual SLAM) technologies.
Required Skills
- Passion for proactively defining and solving problems.
- Experience developing Mapping/Localization technologies using sensors such as cameras, LiDAR, and GPS.
- Strong foundational knowledge and engineering skills in Computer Science:
- Deep understanding of operating systems, data structures, algorithms, databases, and networks.
- Proficiency in C++, Python, and programming frameworks such as ROS and ROS2.