Shilin Shan
Shilin Shan is a Ph.D. candidate at Nanyang Technological University, specializing in robotic manipulation, dynamics modeling, and physical human-robot interaction with a focus on deep learning. He is supervised by Prof. Quang-Cuong Pham and Prof. Domenico Campolo.
Shilin earned his Bachelor’s degree from Nanyang Technological University (2021) with Highest Distinction.
News
∙ [2025-03] One paper accepted to IROS 2025
∙ [2024-09] One paper accepted to RA-L
∙ [2024-01] One paper accepted to ICRA 2024
∙ [2023-12] One paper accepted to RA-L
∙ [2021-08] Start Ph.D. in School of Mechanical and Areospace Engineering in NTU
Education

Nanyang Technological University
Aug 2021 - Present
Ph.D. student at School of Mechanical and Areospace Engineering

Nanyang Technological University
Aug 2017 - May 2021
B.E. in Mechanical Engineering (Mechatronincs and Robotics)
CGPA: 4.82 / 5.00
Publications
†: corresponding author

Fast Payload Calibration for Sensorless Contact Estimation Using Model Pre-training
Shilin Shan†, Quang-Cuong Pham
IEEE Robotics and Automation Letters (RA-L), 2024 Paper | Video

Sensorless Estimation of Contact Using Deep-Learning for Human-robot Interaction
Shilin Shan†, Quang-Cuong Pham
IEEE International Conference on Robotics and Automation (ICRA), 2024 Paper | Video

Fine Robotic Manipulation without Force/Torque Sensor
Shilin Shan†, Quang-Cuong Pham
IEEE Robotics and Automation Letters (RA-L), 2023 Paper | Video

Robotic Manipulation of a Rotating Chain with Bottom End Fixed
Chen Qi Jing†, Shan Shilin , Quang-Cuong Pham
IEEE International Conference on Intelligent Robots and Systems (IROS), 2025 Paper | Video
Awards
∙ [2021] NTU Ph.D. Research Scholarship
∙ [2019] NTU President Research Scholar
∙ [2018 & 2019] Dean’s List (School of Mechanical and Areospace Engineering)
∙ [2017] NTU Science and Engineering Undergraduate Scholarship
Professional Service
Reviewer: RA-L, ICRA, IROS
Teaching
∙ Teaching Assistant: MA2012 Introduction to Mechatronics System Design, NTU, 2024 Spring
∙ Teaching Assistant: MA2071 Hands-on Augmented Reality / Virtual Reality, NTU, 2023 & 2024
