Yue Wang Email & Phone Number
@intuitivesurgical.com
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Who is Yue Wang? Overview
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Yue Wang is listed as Robotic Algorithms and Control Systems Manager at 瑞龙诺赋(上海)医疗科技有限公司, a with 4 employees, based in Shanghai, China. AeroLeads shows a work email signal at intuitivesurgical.com and a matched LinkedIn profile for Yue Wang.
Yue Wang previously worked as Sr. Systems Analyst - Robotics and Controls Engineer at Intuitive Surgical and Systems Analyst - Robotics and Controls Engineer at Intuitive. Yue Wang holds Doctor Of Philosophy (Phd), Mechanical Engineering (Robotics) from University Of Utah.
Email format at 瑞龙诺赋(上海)医疗科技有限公司
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AeroLeads found 1 current-domain work email signal for Yue Wang. Compare company email patterns before reaching out.
About Yue Wang
Roboticist with comprehensive hardware and software experience in robotic control system architect, design, and analysis, mechatronic system design and integration, embedded firmware, robot motion control, multiphysics simulation, and rapid prototyping. Enthusiastic about innovations towards elegant design, control, and product development in robotics, haptics, VR, and Human-Machine Interactions.
Listed skills include Microcontrollers, Solidworks, Finite Element Analysis, Virtual Reality, and 41 others.
Yue Wang's current company
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Yue Wang work experience
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Sr. Systems Analyst - Robotics And Controls Engineer
* Key control and safety software developer and system performance analyst for Intuitive’s da Vinci® Xi surgical robot to support its mass production and field usage; * Technical lead in several vital projects for drivetrain, sensor, and FPGA safety logic redesigns; led the design and testing within multiple groups across different organizations; * Contributed critical solution packages, including data-driven analysis and justification, algorithmic improvements, and test process revisions, to the calibration, control, and safety software of the master-slave surgical manipulators from the system level to the mechatronic component level to enhance the robot performance, improve product quality and manufacturing yield, and reduce field interruptions;* Conducted root-cause analysis on sophisticated manufacturing and field issues and drove to optimal solutions within various hardware and software requirements on performance, quality, and compatibility; * Committed high standard code improvements for runtime software, calibration and safety algorithms, embedded software, and manufacturing test software based upon organized and thorough evaluations and testing on actual robotic system hardware.
Systems Analyst - Robotics And Controls Engineer
Graduate Research Assistant
Design, Modeling, Optimization, Manufacturing, and Evaluation of A Mechatronic Smart Shoe for Haptic Terrain DisplayAward: 2018 Student Innovator (Engineering), University of Utah. Achievement: Provided complete solutions to design, manufacture, optimize, and test an instrumented pneumatic bladder based Smart Shoe system that changes foot-ground interaction for augmented haptic feedback of terrain features in Virtual Reality systems for Parkinson’s Disease gait therapy. Design:∗ Customize designed 3D models of the bladder shoe sole with complex shapes in Solidworks;∗ Designed the Microchip PIC microcontroller based mechatronic system and customize designed all PCB’s and Flexible Printed Cable (FPC).Multiphysics Simulation and Optimization:∗ Conducted multiphysics Finite Element Analysis (FEA) on the pneumatic bladder using hyperelastic rubber model and fluid interaction model in ABAQUS;∗ Developed a Lumped Parameter Model using explicit time integration for rapid parametric study and multiobjective design optimization.Manufacturing:∗ Developed an effective and rapid prototyping method for making durable soft robotic parts using 3D printing parts and liquid rubber;∗ Developed a new fabric-silicone composite material for significantly improved strength and durability.VR System Integration:∗ Integrated the Smart Shoe with Unity (C#) game and Vicon motion tracking system for real-time foot tracking, terrain querying, and shoe control through wireless communication in the TreaPort CAVE VR system.Evaluation and PD Gait Therapy:∗ Conducted extensive tests on a robotic testbed and human subjects using force and position sensors and a motion capture system to evaluate the Smart Shoe performance;∗ Conducting PD gait training with the Smart Shoe in the TreadPort VR system.
Research Assistant
Autonomous Ground Vehicle (AGV): Terrain Slope Identification for AGVs, Aug. 2011 - Aug. 2012• Developed a modular, microcontroller-based motor control and inertial sensor (IMU) data acquisition system for auto-steering and vehicle state identification on a field autonomous ground vehicle (AGV);• Managed inertial sensor integration and calibration on the AGV;• Developed a slope identification algorithm using IMUs for the AGV to operate on a sloped terrain.
Yue Wang education
Doctor Of Philosophy (Phd), Mechanical Engineering (Robotics)
Bachelor'S Degree, Electrical And Electronics Engineering, Automation
Frequently asked questions about Yue Wang
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What company does Yue Wang work for?
Yue Wang works for 瑞龙诺赋(上海)医疗科技有限公司.
What is Yue Wang's role at 瑞龙诺赋(上海)医疗科技有限公司?
Yue Wang is listed as Robotic Algorithms and Control Systems Manager at 瑞龙诺赋(上海)医疗科技有限公司.
What is Yue Wang's email address?
AeroLeads has found 1 work email signal at @intuitivesurgical.com for Yue Wang at 瑞龙诺赋(上海)医疗科技有限公司.
Where is Yue Wang based?
Yue Wang is based in Shanghai, China while working with 瑞龙诺赋(上海)医疗科技有限公司.
What companies has Yue Wang worked for?
Yue Wang has worked for 瑞龙诺赋(上海)医疗科技有限公司, Intuitive Surgical, Intuitive, and University Of Utah - Employment.
How can I contact Yue Wang?
You can use AeroLeads to view verified contact signals for Yue Wang at 瑞龙诺赋(上海)医疗科技有限公司, including work email, phone, and LinkedIn data when available.
What schools did Yue Wang attend?
Yue Wang holds Doctor Of Philosophy (Phd), Mechanical Engineering (Robotics) from University Of Utah.
What skills is Yue Wang known for?
Yue Wang is listed with skills including Microcontrollers, Solidworks, Finite Element Analysis, Virtual Reality, Robotics, Matlab, C++, and C#.
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