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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

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 journalArticleResearchpeer-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 journalArticleResearchpeer-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 journalArticleResearchpeer-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 journalArticleResearchpeer-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 journalArticleResearchpeer-review

Press / Media

China's Economy has Potential, Kinetic Energy to Speed up Transformation

Chao Chen

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

Chao Chen

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

Chao Chen

20/03/19

1 item of Media coverage

Press/Media: Article/Feature

Nova Rover Team featured on Channel 9 News at the 2019 URC

Chao Chen

25/01/19

1 item of Media coverage

Press/Media: Article/Feature