Responsible for the development and optimization of novel visual and tactile perception algorithms, improving the perception ability of robots in complex environments.
Combine visual and tactile perception feedback, research and implement fine-grained manipulation tasks for robots based on models or learning methods.
Participate in the design and integration of multimodal perception systems, and promote the practical application of robot perception technology.
Write relevant technical documentation to ensure the project's maintainability and scalability.
Work requirements:
Proficient in Python and C++ programming languages, familiar with ROS system and Linux operating system, and have good coding and management habits.
Master deep learning related knowledge, familiar with the application of mainstream frameworks such as PyTorch and TensorFlow.
Understand the basics of camera hardware, and have a certain understanding of the principles of robot tactile perception.
Applicants with large-scale project architecture design experience are preferred; those familiar with Qt cross-platform development, OpenGL, OpenCL or embedded computing platforms are preferred; those with open-source project contributions or technical blogs are preferred; those with mass production experience are preferred.
