Experience

Flexiv Ltd.

• United Kingdom
• Facilities Services

• Director of Product Development - Robotic Hardware

  • Jan 2021 - Present

  Santa Clara, California, United States - Leading full cycles of product development of various force/torque sensors, actuation modules, grasping solutions, and robotic manipulators from technology exploration all the way to mass production. - Co-leading the full cycle of product certification for ISO-10218, ISO-13849, and ISO-15066.

• Tech Lead, Manager - Sensing and Grasping

  • Jan 2019 - Jan 2021

  Santa Clara - Leading the technology exploration and product design of various force sensors. - Co-leading the full cycle of product certification for ISO-10218, ISO-13849, and ISO-15066.

• Mechanical Engineer - Sensing

  • Oct 2017 - Jan 2019

  Santa Clara - Exploration, design, prototyping and testing of novel force sensors.



Apple

• Indonesia
• Software Development
• 1 - 100 Employee

• iPad Product Design Intern

  • Jun 2017 - Sep 2017

  United States - 1 of 10 finalists of 90 entries in the Apple new idea and technology iContest; Sole finalist presenting a hardware innovation. - Conducted failure analysis for a field issue on a shipping project and presented root cause and corrective action, successfully eliminating the issue. - Created hardware prototypes to demonstrate future technology applications utilizing custom built and designed fixtures, assemblies, and data collection systems. - Developed test setups and conducted… Show more - 1 of 10 finalists of 90 entries in the Apple new idea and technology iContest; Sole finalist presenting a hardware innovation. - Conducted failure analysis for a field issue on a shipping project and presented root cause and corrective action, successfully eliminating the issue. - Created hardware prototypes to demonstrate future technology applications utilizing custom built and designed fixtures, assemblies, and data collection systems. - Developed test setups and conducted material strength tests to characterize and down select materials for a specific application in future iPad design. - Generated 2D and 3D CAD drawings for FPC and machined/MIM parts. Show less



Stanford University

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Apr 2013 - Jun 2017

  Biomimetics and Dexterous Manipulation Laboratory at Stanford -Designed and built large scale robotic grippers to grapple and recycle up to 400 kg space debris in free floating environments by attaching to flat and curved surfaces (usually solar panels and rocket bodies); Tested the gripper in the air-bearing floor at NASA JPL as well as on a zero-g airplane for a 3D floating environment for 80 grasping cycles at the NASA Johnson Space Center. -Designed and modeled insect-inspired micro-spine grippers for UAVs to land and perch on outdoor… Show more -Designed and built large scale robotic grippers to grapple and recycle up to 400 kg space debris in free floating environments by attaching to flat and curved surfaces (usually solar panels and rocket bodies); Tested the gripper in the air-bearing floor at NASA JPL as well as on a zero-g airplane for a 3D floating environment for 80 grasping cycles at the NASA Johnson Space Center. -Designed and modeled insect-inspired micro-spine grippers for UAVs to land and perch on outdoor, vertical and inverted rough surfaces such as concrete walls and ceilings. Manufacturing of such grippers involves CNC and plastic casting, and the model consists of probabilistic distributions and a Markov Decision Process. -Over 20 publications including Science. My Google scholar profile is here: https://scholar.google.com/citations?user=u6X2sWUAAAAJ&hl=en

• AI Algorithm Developer

  • Sep 2014 - Mar 2016

  Stanford University -Applied logistic regression and SVM to a robotic hand pinching experiment that uses the finger joint sensors to evaluate the pinching/grasping quality. The algorithm was able to predict the target object's stiffness and the pull-out force with over 90% accuracy. -Developed a game AI for the Doodle Jump game using both a reflexive classifier and a Q-learning approach. The AI was able to play over 100% better than trained human players. -Applied Faster R-CNN and YOLO (deep… Show more -Applied logistic regression and SVM to a robotic hand pinching experiment that uses the finger joint sensors to evaluate the pinching/grasping quality. The algorithm was able to predict the target object's stiffness and the pull-out force with over 90% accuracy. -Developed a game AI for the Doodle Jump game using both a reflexive classifier and a Q-learning approach. The AI was able to play over 100% better than trained human players. -Applied Faster R-CNN and YOLO (deep learning) to reduced quality videos to identify objects. The algorithm was able to detect and classify images and videos with Gaussian blur, motion blur, and pixelation with similar accuracy as HD ones.

• Mechatronic Product Designer

  • Sep 2012 - Mar 2014

  Stanford University -Developed an open innovation platform for a chemical company Clariant in Switzerland with 5 teammates. The platform consists of a website for sharing technology and resources and a novel 3D printer that can print both mechanical parts and electrical parts. This printer can be used in physical workshops for people to realize their ideas in addition to the online idea-sharing platform. -Designed a mechatronic game station as well as a mobile robot for a robotic competition at Stanford… Show more -Developed an open innovation platform for a chemical company Clariant in Switzerland with 5 teammates. The platform consists of a website for sharing technology and resources and a novel 3D printer that can print both mechanical parts and electrical parts. This printer can be used in physical workshops for people to realize their ideas in addition to the online idea-sharing platform. -Designed a mechatronic game station as well as a mobile robot for a robotic competition at Stanford. The robot development involves micro-controller programming and motor control, as well as IR and supersonic sensing. Show less



Beijing University of Aeronautics and Astronautics

• Research Assistant

  • Dec 2010 - Jun 2012

  Beijing -Designed the peripheral circuit interface for transplanting the microcontroller from the Hardware-In-the-Loop platform to the 6DOF quadrotor for flight testing. -Designed an initialization mechanism for a 3DOF quadrotor Hardware-In-the-Loop platform which largely improved the testing performance. -Developed Fault Tolerant Control using Trajectory Linearization approach for quadrotor losing propellers.