Robot Navigation Algorithm Engineer

Posted 3 months ago
3 to 5 years
Master
HK $25K-35K/Month
Job Highlights
負責機械人激光SLAM算法研發
精通C++/Python,熟悉Linux/ROS
紮實的數學基礎,能獨立推導模型
Job Description
<p>Duties include:</p> <p>Responsible for the development and optimization of robot laser SLAM algorithms, including mapping, localization, closed-loop detection, path planning, etc. core modules<br>Research multi-sensor fusion technology (laser radar, IMU, odometer, vision, etc.), improve the algorithm's robustness and accuracy in dynamic environments<br>Optimize algorithm performance for indoor and outdoor complex scenes (such as warehouses, industry, service robots, etc.), and complete the transplantation and deployment of embedded platforms<br>Collaborate with the hardware team to complete sensor calibration, system integration and field testing, and solve technical problems in actual applications<br>Write algorithm design documents, test reports and technical solutions to support product iteration and intellectual property applications<br>Collaborate with product and testing teams to push algorithms into practical application in robot navigation systems<br>Job Requirements</p> <p>Bachelor's degree or above, majoring in Computer Science, Automation, Robotics, Electronic Engineering, etc. related fields<br>3 years of laser SLAM algorithm development experience, familiar with mainstream frameworks such as Cartographer, Gmapping, LOAM, etc.<br>Proficient in C++/Python programming, familiar with Linux/ROS development environment, and familiar with Eigen, PCL, Ceres, g2o, etc. algorithm libraries<br>Solid mathematical foundation (probability theory, linear algebra, graph optimization, etc.), able to independently derive SLAM-related mathematical models<br><br>Have practical experience in multi-sensor calibration, point cloud processing, real-time system optimization, etc.<br>Priority conditions</p> <p>Familiar with visual SLAM (such as ORB-SLAM, VINS-Fusion) or semantic SLAM technology<br>Experience in algorithm transplantation to embedded platforms (such as ARM, STM32)<br>Participated in robot competitions or published related field papers/patents<br>English can be used as a working language</p>
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ARM
English
Yiman LIU
HKCRC·Assitant Manager
Company Overview
HKCRC focuses on four major directions in the intelligent construction industry: building measurement and testing, construction planning and design, flexible prefabricated construction, and construction site automation, successfully developing 12 building technology products, incubating and cultivating 4 technology companies, obtaining 40 patents, and winning more than ten domestic and international awards, including the highest award and the Red Dot Award at the Geneva International Invention Exhibition. Rooted in the Greater Bay Area and looking towards the world, HKCRC has established contact and cooperation with government departments, academic institutions, contractors, and technology companies in multiple countries and regions such as China Hong Kong, the mainland, the United States, Singapore, Malaysia, Japan, and Saudi Arabia, with pilot and landing projects exceeding 30.
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