Aspiring Robotics Engineer with experience as a Robotics Testing Engineer and internships in robotics. Proficient in ROS, with expertise in developing and testing manipulators and mobile robots. Skilled in integrating electronics with software to build innovative and efficient robotic solutions. Seeking a researcher role to contribute to creating advanced and safe robotic systems.
0 + Projects completed
Robotics Engineer with 6 Months of Practical Experience in Self Driving Technology. Proven Expertise in Robotics and ROS.
View Experience Letter (YTB Received)
Delta Electronics, Inc. is a Taiwanese electronics manufacturing company. It is a leading Taiwanese provider of switching power supplies, DC brushless fans, and thermal management solutions.
Prof. Syed H. Shah - syedshah@saturn.yzu.edu.tw
The Advanced Robotics and AI Lab, under the guidance of Prof. Syed Humayoon Shah, focuses on research in Reinforcement Learning, Robotics, Image Processing, and Deep Learning.
Karthikesh Robotics is an Indian robotics startup/private company that focuses on autonomous robotics, AI-driven robotic systems, and robotics education/training. They work on AMR solutions and robotics engineering services.
View Experience + Relieving Letter
Flux Auto is building autonomous mobility technology to fully automate the movement and operation of vehicles in controlled spaces. Flux is currently deploying in warehouses, farms and mines.
The Centre for Excellence in Robotics (CER) at IIT, Kharagpur, India, is an umbrella body, under the aegis of which, all robotics-related activities of the Institute will be conducted and coordinated.
Wissensquelle Robotics is an Indian educational technology company, that focuses on STEM education, robotics labs, and workshops for K-12 students and institutions. They provide hands-on learning through DIY kits.
Participated in AWS DeepRacer Student League and trained RL models using PPO. Finished the track in under 3 min.
Participated in the DeepRacer Competition and secured 1st place by completing 3 laps, achieving a best lap time of approx. 7 sec.
Developed a Q-learning-based approach for autonomous gripper orientation correction of a 6-degree-of-freedom (6-DoF) robotic manipulator.
This project focuses on modular vision-guided reinforcement learning framework for drawer manipulation and object retrieval using a 6-DoF robotic arm.
Integrated perception-control framework that combines transformer-based object detection with deep reinforcement learning for robotic target-reaching tasks.
Controlled a robot using ROS 2, created a map of the environment, and implemented localization and autonomous navigation behavior using SLAM.
This project focuses on detecting ArUco markers, finding the centers of boxes, and performing pick-and-place operations using ROS 2 MoveIt Servo.
These projects focus on practical robotics applications using C++ and ROS 2. They begin with core concepts and progress through advanced topics.
Developed a leader-follower formation control system with mobile robots, enabling coordinated motion by tracking and preserving relative positions.
This project focuses on modeling 6DOF kinematic equations and controlling movement in 3D space using FK & IK.
This project aims to develop a graph-based path-planning system tailored for self-driving technology. It will focus on optimizing travel time in emergencies.
This project enhances robot state estimation by implementing an Extended Kalman Filter to fuse GPS and IMU data.
Developed a Pick-and-Place robot system in Webots. It efficiently sorts objects by their colors using the Robotio 3F Gripper.
Implemented a real-time object detection application using OpenCV and a pre-trained deep learning model.
Implemented an automated number plate recognition system using YOLO for detection and OCR for text extraction.
This project focuses on developing a real-robot path planning system using Q-learning.
This project is to design and implement a high-accuracy DL-based traffic sign detection system using CNN.
Developed a self-balancing robot with a simulation model in V-REP using a reaction wheel mechanism.
Assembled a ROS-based mobile robot [TortoiseBot], and implemented autonomous navigation using SLAM.
Designed and built a 4-DOF robotic arm using Arduino, OpenCV, and inverse kinematics to play tic-tac-toe.
Developed a 4DOF Robotic Arm, it can be wirelessly controlled using a custom-built android app (MIT App Inventor).
Below are the details to reach out to me!
Taoyuan, Taiwan