Based on embedded platforms (ARM Cortex-M/A series) development, optimization and deployment of traditional signal processing and lightweight AI algorithms
Design and implement real-time processing algorithms for tactile sensor signals, including digital filtering, noise reduction, feature extraction, and pattern recognition
Develop tactile sensor calibration, compensation, and data fusion algorithms to improve sensor accuracy, consistency, and temperature stability
For resistance, capacitance and other tactile sensing technologies, develop embedded end signal demodulation and contact force reconstruction algorithms
Collaborate with the hardware team to complete sensor-computing co-design, participate in technical patent organization and writing
Responsible for robot system motion control and algorithm development, realizing mechanical arms, dexterous hands, etc. operation tasks
Computer Science, Electrical Engineering, Automation, Applied Mathematics and related fields Bachelor's degree
2 years of experience in embedded algorithm development or signal processing
Proficient in C/C++/Python, with experience in embedded platform algorithm deployment and optimization
Solid signal processing fundamentals, including filter design, frequency domain analysis, and time-domain signal analysis
Have lightweight machine learning model development or deployment experience, familiar with ROS2, Isaac Sim framework is preferred
Have good technical documentation reading and writing skills
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