Richard Hu
Machine Learning Engineer at XPENG- Claim this Profile
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Chinese Native or bilingual proficiency
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English Native or bilingual proficiency
Topline Score
Bio
Credentials
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Certified SOLIDWORKS Associate
Dassault SystèmesFeb, 2018- Sep, 2024
Experience
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XPENG
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China
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Motor Vehicle Manufacturing
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500 - 600 Employee
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Machine Learning Engineer
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Jan 2022 - Present
Building cloud based reinforcement learning pipeline for locomotion of a quadruped robot. Building cloud based reinforcement learning pipeline for locomotion of a quadruped robot.
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Huawei Technologies Canada Co., Ltd.
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Canada
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Telecommunications
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500 - 600 Employee
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Support Researcher
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May 2020 - Jan 2021
Developed, published, and patented a Delaunay Triangulation based spatial constraint generation algorithm for mapless autonomous vehicle navigation in a dynamic environment. This algorithm is published in IROS 2021 and patent pending. Implemented a Python based path planning simulator and the algorithm's modules for fast development iterations Implemented Hybrid A* and Funnel algorithm for path planning in triangulation mesh Engaged in simulator development using CARLA by automating map generation process from real-world datasets Show less
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University of Toronto
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Canada
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Higher Education
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700 & Above Employee
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Head Teaching Assistant, MIE443
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Jan 2018 - Apr 2020
Lectured 4th year engineering students on ROS based robot navigation and SLAM methodsGuided students on ROS based autonomous robot algorithm development, vision sensor, and OpenCV2019-20 Teaching Assistant Award winner
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Researcher, Pico-Scale Hydro Turbine Design
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Jan 2018 - Sep 2018
Designed a variable guide vane for pico-scale hydro turbine using SolidWorksEvaluated the guide vane failure mode with fluid pressure test, mechanical stress test, and finite element analysisPrototyped the turbine and an experiment pipeline using Arduino, SLA 3D printing and machining techniques
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Conavi Medical
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Canada
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Medical Device
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1 - 100 Employee
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Mechanical Engineer Intern, Novasight Hybrid System
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May 2016 - Aug 2017
Engaged in the research and development of the Novasight Hybrid System. It is an intravascular catheter invention that combines ultrasound and optical coherent homography. Investigated potential design hazards and risks of catheter rotary assembly Streamlined an efficient assembly and calibration work instruction for intravascular catheter Established an inventory system with full traceability for FDA 510k submission validation Directed technical design reviews with senior leadership, accelerated the exit of the project phase Designed imaging and rotary assembly for a intravascular catheter using MATLAB and SolidWorks Show less
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Researcher
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Jun 2015 - Sep 2015
Developed Arduino based camera to fluid pipeline synchronization system to speed up data collection by 85% Classified 13 novel air-fluid impingement shatter pattern using statistical analysis Developed Arduino based camera to fluid pipeline synchronization system to speed up data collection by 85% Classified 13 novel air-fluid impingement shatter pattern using statistical analysis
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Education
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2018 - 2021
University of Toronto
Master's degree, Mechanical Engineering -
2013 - 2018
University of Toronto
Bachelor's degree, Engineering
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