{"id":2828,"date":"2024-07-05T16:12:34","date_gmt":"2024-07-05T20:12:34","guid":{"rendered":"https:\/\/mriomega.com\/?p=2828"},"modified":"2025-09-05T01:39:51","modified_gmt":"2025-09-05T05:39:51","slug":"robotics-vision-engineer-253070-masters-robotics-bsme-fanuc-kuka-keyence-cognex-automotive-industrial-automation-will-relo","status":"publish","type":"post","link":"https:\/\/mriomega.com\/index.php\/controls-automation\/robotics-vision-engineer-253070-masters-robotics-bsme-fanuc-kuka-keyence-cognex-automotive-industrial-automation-will-relo\/","title":{"rendered":"Robotics \/ Vision Engineer (253070) Masters Robotics, BSME \/ Fanuc, Kuka, Keyence, Cognex \/ Automotive, Industrial Automation \/ Will relo"},"content":{"rendered":"\n

Robotics \/ Machine Learning \/ Vision Engineer. He has a Masters degree in Robotics and a Bachelors in Mechanical Engineering. <\/strong> He is also a Certified Vision Professional and is Solidworks certified. He is skilled in multiple programming and Machine Vision Tools. He recently left XXXXXXX Robotics due to a layoff and is now looking for a new challenge. He is single, renting, and willing to relocate for a permanent role. This early career Game Changer brings solid experience, advanced education, and an enthusiastic attitude to the table. His notable experience includes:<\/p>\n\n\n\n

\u2022 Conducted machine vision feasibility studies, and selected hardware with external lighting, filters, and lenses.
\u2022 Prototyped, commissioned, and evaluated machine vision systems for 8 companies.
\u2022 Executed various machine vision tasks such as gauging, barcode reading, OCR, defect detection, presence\/absence, part verification, pattern matching, sorting, Flexibowl picking, and 3D inspections.
\u2022 Deployed, tested, and debugged machine vision systems, including Cognex and Keyance systems.
\u2022 Developed vision system interfaces to other systems such as PLC, ROS2, and robot systems.
\u2022 Led successful Factory & Site Acceptance Tests (FAT & SAT), ensuring compliance with relevant standards and requirements.
\u2022 Translated and refined a C++ image processing pipeline to Python for robotic laser detection, using OpenCV and YOLOV8 to improve center-finding accuracy, enhancing robotic placement precision.
\u2022 Created web interface using React framework integrated with ROS to monitor the robots.
\u2022 iRVision: Calibrated camera using a checkerboard pattern and located patterns using a GPM locator.
\u2022 TCP Teaching: Used pointer to teach the TCP of the Robot using a 4-point method. Repeated with different methods such 3-point, and 6-point methods and compared the results.
\u2022 TP Program Setup: Made a TP Program to get the pose of the pallet block with vision data from the camera.<\/p>\n\n\n\n

\u2022 Industrial Automation \u2013 2 yrs
\u2022 Automotive
\u2022 3D CAD
\u2022 ANSYS Discovery
\u2022 AutoCAD
\u2022 Autodesk Inventor
\u2022 C++
\u2022 Ethernet IP
\u2022 LabVIEW
\u2022 Matlab
\u2022 Ruby
\u2022 Machine Learning
\u2022 Robot Operating System
\u2022 Object Detection
\u2022 Tested, and Debugged Machine Vision Systems
\u2022 Gauging
\u2022 Barcode Reading
\u2022 OCR
\u2022 Feasibility Studies
\u2022 Robotic Laser Detection
\u2022 Defect Detection
\u2022 Presence\/Absence
\u2022 Part Verification
\u2022 iRVision
\u2022 TCP Teaching
\u2022 TP Program Setup
\u2022 Pattern Matching
\u2022 Sorting
\u2022 Flexibowl Picking
\u2022 Fanuc Robots
\u2022 Kuka Robots
\u2022 3D inspections
\u2022 Machine Vision
\u2022 Project Management
\u2022 SolidWorks 3D modeling
\u2022 TensorFlow
\u2022 Visual Basic
\u2022 Robot Simulation Tools
\u2022 Teach Pendant
\u2022 Programmable Automation
\u2022 Automated Transfer Lines
\u2022 ANN – Artificial neural network
\u2022 Industrial Process Automation Integration<\/p>\n\n\n\n

Relevant Skills & Course Modules<\/strong>
\u2022 Programming\/OS: <\/strong>Python, C++, MATLAB, ROS(Noetic), ROS2, Ubuntu
\u2022 Tools: <\/strong>Pytorch, TensorFlow, Keras, OpenCV, Labelme, Ultralytics, Gazebo, Solidworks, AutoCAD, PyQt, Visual Studio
\u2022 Machine Vision Tools<\/strong>: Cognex Insight, Cognex VisionPro Deeplearning, Keyence, ifm, Accusentry, Halcon, Basler, Fanuc iRVision, LabView
\u2022 Courses:<\/strong> Machine Learning, Deep Learning, Computer Vision, Sensor Fusion, Robot Dynamics & Controls<\/p>\n\n\n\n

Education<\/strong>
\u2022 Masters in Robotics \/ Worcester Polytechnic Institute (WPI) – USA| | GPA: 4.0\/4.0 May 2023
\u2022 BE in Mechanical Engineering \/ R.V. College of Engineering (RVCE) – India | | GPA: 8.0\/10.0 Sept 2020
\u2022 Certified Vision Professional Basic, A3 engineering Feb 2024
\u2022 Solidworks certified in Mechanical Design -Dassault Syst\u00e8mes<\/p>\n","protected":false},"excerpt":{"rendered":"

Robotics \/ Machine Learning \/ Vision Engineer. He has a Masters degree in Robotics and a Bachelors in Mechanical Engineering. He is also a Certified Vision Professional and is Solidworks certified. He is skilled in multiple programming and Machine Vision Tools. He recently left XXXXXXX Robotics due to a layoff and is now looking for…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[308],"tags":[32,34,240,263,380,382,385,1151,1158,1159,1160],"class_list":["post-2828","post","type-post","status-publish","format-standard","hentry","category-controls-automation","tag-bsme","tag-automotive","tag-masters","tag-industrial","tag-robot","tag-fanuc","tag-programming","tag-keyence","tag-kuka","tag-cognex","tag-machine-vision"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts\/2828","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/comments?post=2828"}],"version-history":[{"count":1,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts\/2828\/revisions"}],"predecessor-version":[{"id":2829,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts\/2828\/revisions\/2829"}],"wp:attachment":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/media?parent=2828"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/categories?post=2828"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/tags?post=2828"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}