Projects per year
Personal profile
Biography
Chao works in the Faculty of Engineering at Monash University as a Senior Lecturer.
The Laboratory of Motion Generation and Analysis (LMGA) is directed by Dr Chen. We are interested in innovative motion generation for versatile edge-cutting applications, and conducting fundamental researches on motion analysis. Our research activities include reconfigurable robotic arms, parallel robotic manipulators, virtual reality, and theory of robotics and mechanisms. The research team is consisted of research assistants, post-graduates, visiting scholars and HDR students, and distinct undergraduates. The lab receives funds from the Australian Research Council (ARC), and multiple internal grant bodies. We are keeping strong national and international collaborations, including France, US, China, and Canada. If interested, you are welcome to contact me for more information.
Research area keywords
- Medical Robots for Surgery and Rehabilitation
- Mobile Robots with Advanced Mobility
- Reconfigurable Mechatronic Systems
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
- 1 Active
3-D printed hand prosthetic devices: improving their design and delivery models
O'Brien, L., Chen, C. & Lavranos, J.
1/03/19 → 1/09/20
Project: Research
Research Output
Design and validation of a spatial two-limb 3R1T parallel manipulator with remote center-of-motion
Chen, G., Wang, J., Wang, H., Chen, C., Parenti-Castelli, V. & Angeles, J., Jul 2020, In : Mechanism and Machine Theory. 149, 18 p., 103807.Research output: Contribution to journal › Article › Research › peer-review
Fast implementation of real-time fruit detection in apple orchards using deep learning
Kang, H. & Chen, C., Jan 2020, In : Computers and Electronics in Agriculture. 168, 10 p., 105108.Research output: Contribution to journal › Article › Research › peer-review
1
Citation
(Scopus)
Fruit detection, segmentation and 3D visualisation of environments in apple orchards
Kang, H. & Chen, C., Apr 2020, In : Computers and Electronics in Agriculture. 171, 10 p., 105302.Research output: Contribution to journal › Article › Research › peer-review
Automatic prostate segmentation based on fusion between deep network and variational methods
Tan, L., Liang, A., Li, L., Liu, W., Kang, H. & Chen, C., 2019, In : Journal of X-Ray Science and Technology. 27, 5, p. 821-837 17 p.Research output: Contribution to journal › Article › Research › peer-review
1
Citation
(Scopus)
Balance control of a biped robot on a rotating platform based on efficient reinforcement learning
Xi, A., Mudiyanselage, T. W., Tao, D. & Chen, C., 1 Jul 2019, In : IEEE/CAA Journal of Automatica Sinica. 6, 4, p. 938-951 14 p., 8753751.Research output: Contribution to journal › Article › Research › peer-review
Press / Media
Artificial Intelligence Products and Application Solutions Unveiled in EXPO Suzhou 2019
10/05/19
1 item of Media coverage
Press/Media: Article/Feature
China's Economy has Potential, Kinetic Energy to Speed up Transformation
9/05/19
1 item of Media coverage
Press/Media: Article/Feature
Nova Rover team all set to compete in the 2019 University Rover Challenge
25/03/19
1 item of Media coverage
Press/Media: Article/Feature
Earth to Mars: Monash Team Takes on World's Best in Rover Challenge
20/03/19
1 item of Media coverage
Press/Media: Article/Feature
Nova Rover Team featured on Channel 9 News at the 2019 URC
25/01/19
1 item of Media coverage
Press/Media: Article/Feature