Academic Profile : Faculty
Prof Chen I-Ming
Professor, School of Mechanical & Aerospace Engineering
Director, Intelligent Systems Centre, School of Mechanical and Aerospace Engineering (MAE)
Email
Dr. Chen, Fellow of IEEE (Class of 2012) and Fellow of ASME, has been with the School of Mechanical and Aerospace Engineering of Nanyang Technological University in Singapore since 1995. He is currently Co-Director of CARTIN, and Director of Robotics Research Center from 2014 to 2017, Director of Intelligent Systems Center from 2006 to 2016. He was JSPS Visiting Scholar in Kyoto University in 1999 and Tokyo University in 2009, Visiting Scholar in the Department of Mechanical Engineering of MIT in 2004, and Fellow of Singapore-MIT Alliance under Innovation in Manufacturing Systems and Technology (IMST) Program (2002-2007).
His research interests are in construction and logistics robots, wearable sensors, human-robot interaction, and reconfigurable automation.
He is Editor-in-chief of IEEE/ASME Transactions on Mechatronics from 2020 to 2022, and also General Chairman of IEEE ICRA 2017 in Singapore (May 8-12, 2017). He co-founded two robotics companies: Transforma Robotics and Hand Plus Robotics.
His research interests are in construction and logistics robots, wearable sensors, human-robot interaction, and reconfigurable automation.
He is Editor-in-chief of IEEE/ASME Transactions on Mechatronics from 2020 to 2022, and also General Chairman of IEEE ICRA 2017 in Singapore (May 8-12, 2017). He co-founded two robotics companies: Transforma Robotics and Hand Plus Robotics.
1) Mechatronics system design: cable-driven systems, biomorphic robots, entertainment robots;
2) Wearable sensors and haptic devices;
3) Body sensor network, wireless sensor network and sensor grid;
4) Reconfigurable automation;
5) Parallel kinematics machines (PKM);
6) Micro- and nano-manipulation systems;
7) Spherical actuators and smart material based actuators;
8) Robotic locomotion.
2) Wearable sensors and haptic devices;
3) Body sensor network, wireless sensor network and sensor grid;
4) Reconfigurable automation;
5) Parallel kinematics machines (PKM);
6) Micro- and nano-manipulation systems;
7) Spherical actuators and smart material based actuators;
8) Robotic locomotion.
- Advanced ROS2-native Platform Technologies for Cross-sectorial Robotics Adoption
- High-DOF Mobile Manipulator Coverage Motion Planning for 3D Environment
- Mobile Robotic Painting Workcell for Large-scale Factory Workpiece
- WP 1.3 ROS2 Native Robot Controller for Manufacturing
US 2019/0279060 A1: Optically Readable Tags And Methods And Systems For Decoding An Optically Readable Tag (2020)
Abstract: An optically readable tag and methods and systems for decoding the optically readable tag are disclosed. The optically readable tag comprises: a border region having an indicative shape; and an encoding region, defined by the border region, the encoding region comprising a plurality of encoding shape objects, wherein data is encoded by relative sizes of the encoding shape objects.
US 2014/0303524 A1: Method And Apparatus For Calibrating A Motion Tracking System (2015)
Abstract: Methods and apparatus are provided for calibrating a motion tracking system (100) including a plurality of orientation sensors (102 a-103 h) attached to a plurality of body segments (104 a-105 h) of a user (9101). The methods and apparatus receive a first set of orientation signals from a first set of the orientation sensors (102 a-102 g). The first set of orientation signals associated with a first pair of the body segments (102 a, 102 f) matching a first set of predetermined positions. The skeleton dimension of the user and the mapping between the body segments and the corresponding attached sensors (102 a-103 h) are calibrated based on the first set of orientation signals. A first template including the first set of predetermined positions may be used, and the first pair of the body segments (104 a, 104 f) include the feet of the user. Receiving the first set of orientation signals includes receiving an orientation signal from each of the first set of sensors 102 a-102 g as the feet of the user (101) are placed on each of the first set of predetermined positions of the template.
Abstract: An optically readable tag and methods and systems for decoding the optically readable tag are disclosed. The optically readable tag comprises: a border region having an indicative shape; and an encoding region, defined by the border region, the encoding region comprising a plurality of encoding shape objects, wherein data is encoded by relative sizes of the encoding shape objects.
US 2014/0303524 A1: Method And Apparatus For Calibrating A Motion Tracking System (2015)
Abstract: Methods and apparatus are provided for calibrating a motion tracking system (100) including a plurality of orientation sensors (102 a-103 h) attached to a plurality of body segments (104 a-105 h) of a user (9101). The methods and apparatus receive a first set of orientation signals from a first set of the orientation sensors (102 a-102 g). The first set of orientation signals associated with a first pair of the body segments (102 a, 102 f) matching a first set of predetermined positions. The skeleton dimension of the user and the mapping between the body segments and the corresponding attached sensors (102 a-103 h) are calibrated based on the first set of orientation signals. A first template including the first set of predetermined positions may be used, and the first pair of the body segments (104 a, 104 f) include the feet of the user. Receiving the first set of orientation signals includes receiving an orientation signal from each of the first set of sensors 102 a-102 g as the feet of the user (101) are placed on each of the first set of predetermined positions of the template.