Scholar
Chen-Lung Lu
Google Scholar ID: QSjQYLEAAAAJ
Ph.D Student, Rensselaer Polytechnic Institute
Citations & Impact
Citations
183
H-index
7
i10-index
5
Publications
10
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Significant technical advancements in multiple projects, including kinematic calibration, wire arc additive manufacturing, and robot motion optimization.
Research Experience
- Configuration Dependent Kinematic Calibration (ARM 22-01-F-07): Developed a configuration dependent kinematic model calibration framework for robot arms, leveraging Fourier basis, Neural Network and Autoencoder to achieve sub-millimeter accuracy in TCP position estimation, significantly surpassing baseline performance by sixfold.
- In-situ Multi-Robot Multi-Sensor Data-Driven Wire Arc Additive Manufacturing (ARM 22-01-F-07): Developed an in-situ multi-robot multi-sensor data-driven WAAM framework to achieve high-fidelity part fabrication.
- Multi-Robot Scan-n-Print for Wire Arc Additive Manufacturing (ARM 22-01-F-07): Developed a multi-robot scan-n-print framework for WAAM monitoring and control, demonstrating significant improvements of the closed loop scan-n-print approach over the current open loop result on both a flat wall and a more complex turbine blade shape.
- Robot Motion Optimization (ARM 21-02-F-19): Developed a full stack robot arm motion optimization framework achieving sub-millimeter accuracy in tracking desired curves in space with the robot arm, surpassing baseline speeds by up to 7.8 times.
- Emotional Expressive Robot: Designed a control strategy for a 10-degree-of-freedom mobile manipulator to express internal information, focusing on emotions, through motion behaviors. Utilized crowdsourcing to learn the best parameter combinations for expressing different emotions.
Education
- PhD Candidate at Rensselaer Polytechnic Institute, advised by Dr. John Wen
Background
- Robotics Engineer, with research interests encompassing motion optimization and kinematic calibration for robot arms within manufacturing contexts. My research incorporates concepts from robotics, optimization, and control. Additionally, I have experience in semi-autonomous vehicles for search and exploration, utilizing SLAM, deep learning, and reinforcement learning methodologies.
Miscellany
- Email: luc5@rpi.edu, Location: Rensselaer Polytechnic Institute, Troy, NY, Availability: I check my email daily and respond promptly to inquiries.
Co-authors