Assistant Professor |College of Engineering, Department of Computer Science and Engineering, Department of Mechanical and Energy Engineering   Research Group

The Bionic Design + Learning Lab is led by Dr. Song Chaoyang at Southern University of Science and Technology (SUSTech) with research interests in Bionic Design, Robot Learning, and Design Science. Dr. Song completed his undergraduate degree at Tongji University, Shanghai, China in 2009, and Ph.D. degree at the Robotics Research Center at Nanyang Technological University, Singapore in 2014. His doctoral research focuses on the theoretical kinematics of a class of overconstrained linkages, dealing with the fundamental mechanism theory in robotics and mechanical engineering. During post-doc research, Dr. Song joined the newly founded Singapore University of Technology and Design. His post-doc research moves towards the application end of research and development, investigating the factor of technological and design innovation in the successful translation of lab results into commercial products. He continued his post-doc research topic at Massachusetts Institute of Technology. Before joining SUSTech, Dr. Song was appointed as a Lecturer (Assistant Professor) in the Department of Mechanical Engineering at Monash University, where the Sustainable + Intelligent Robotics Group, or the SIR Group, was originally formed. We updated the lab name as the newly formed SUSTech Institute of Robotics shares the same acronym.

Personal Profile

Research

Bionic Design, Robot Learning, and Design Science

For more informatin, visit https://ancorasir.com/


Teaching

Southern University of Science and Technology

- ME303 Introduction to Mechanical Design (Autumn 2019, Autumn 2018)

- ME336 Collaborative Robot Learning (Spring 2019)

Monash University (Archived)

- ENG5002/6002 Engineering Entrepreneurship (17 S2, 16 S2)

- MEC3458 Experimental Project (17 S2)

- MEC5882 – Instrumentation, Sensing and Monitoring (17 S2, 16 S2)


Publications Read More

Journal Articles

(2018) Yi, Juan, Xiaojiao Chen, Chaoyang Song, Jianshu Zhou, Yujia Liu, Sicong Liu, and Zheng Wang.

Customizable 3D-Printed Origami Soft-Robotic Joint with Effective Beavior Shaping for Safe Interactions.

IEEE Transactions on Robotics.

https://doi.org/10.1109/TRO.2018.2871440.

(2018) Wan, Fang, and Chaoyang Song*.

A Neural Network With Logical Reasoning Based on Auxiliary Inputs.

Frontiers in Robotics and AI, 5:86.

https://doi.org/10.3389/frobt.2018.00086.

(2018) Hölttä-Otto, Katja, Kevin Otto, Chaoyang Song, Jianxi Luo, Timothy Li, Carolyn C Seepersad, and Warren Seering.

The Characteristics of Innovative, Mechanical Products – 10 Years Later.

Journal of Mechanical Design, 140 (8): 084501.

https://doi.org/10.1115/1.4039851.

(2018) Yi, Juan, Xiaojiao Chen, Chaoyang Song, and Zheng Wang.

Fiber- Reinforced Origamic Robotic Actuator.

Soft Robotics, 5 (1): 8192.

https://doi.org/10.1089/soro.2016.0079.

(2018) Chen, Yaohui, Fang Wan, Tong Wu, and Chaoyang Song*.

Soft-Rigid Interaction Mechanism towards a Lobster-Inspired Hybrid Actuator.

Journal of Micromechanics and Microengineering, 28 (1): 014007.

https://doi.org/10.1088/1361-6439/aa9e25.

(2017) Wan, Fang, and Chaoyang Song*.

Logical Learning Through a Hybrid Neural Network with Auxiliary Inputs.

arXiv: 1705.08200 [cs.AI].

https://doi.org/10.5281/zenodo.581803.

(2015) Song, Chaoyang, Huijuan Feng, Yan Chen, I-Ming Chen, and Rongjie Kang.

Reconfigurable Mechanism Generated from the Network of Bennett Linkages.

Mechanism and Machine Theory, 88 (June): 4962.

https://doi.org/10.1016/j.mechmachtheory.2015.02.003.

(2014) Song, Chaoyang, Yan Chen*, and I-Ming Chen.

Kinematic Study of the Original and Revised General Line-Symmetric Bricard 6R Linkages.

Journal of Mechanisms and Robotics, 6 (3): 031002 (10 pages).

https://doi.org/10.1115/1.4026339.

(2013) Song, Chaoyang, Yan Chen*, and I-Ming Chen.

A 6R Linkage Reconfigurable between the Line-Symmetric Bricard Linkage and the Bennett Linkage.

Mechanism and Machine Theory, 70 (December): 27892.

https://doi.org/10.1016/j.mechmachtheory.2013.07.013.

(2012) Song, Chaoyang, and Yan Chen*.

Multiple Linkage Forms and Bifurcation Behaviours of the Double-Subtractive-Goldberg 6R Linkage.

Mechanism and Machine Theory, 57 (November): 95110.

https://doi.org/10.1016/j.mechmachtheory.2012.07.002.

(2011) Song, Chaoyang, and Yan Chen*.

A Family of Mixed Double-Goldberg 6R Linkages.

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 468 (2139): 87190.

https://doi.org/10.1098/rspa.2011.0345.

(2011) Song, Chaoyang, and Yan Chen*.

A Spatial 6R Linkage Derived from Subtractive Goldberg 5R Linkages.

Mechanism and Machine Theory, 46 (8): 10971106.

https://doi.org/10.1016/j.mechmachtheory.2011.03.006.

Lab members Read More

Join us

Recruitment

The BionicDL Lab is led by Prof. Song Chaoyang at the Department of Mechanical and Energy Engineering and the Institute of Robotics at SUSTech. We are well-equipped with a range of robotic hardware, lab space and testing equipment to conduct frontier research in robotics and AI. Our main research interests are Bionic Design, Robot Learning and Design Science. We currently have openings for the following positions, which will remain open until filled.

  • Robotic Software Development
  • Learning Algorithm Development
  • Mechatronics Hardware Design
  • Industrial Product Design

Experienced engineers or designers with proven track-records in the above areas are welcome to apply by submitting your Expression of Interest at this link, especially those interested in the University environment. Competitive and prospective candidates are also welcome to apply for academic tracks, including Master, Ph.D., and Post-doc positions, in the above areas. Students who wish to enter the above areas are also welcome to apply.


Robotic Software Development

  • The role is expected to have a good understand and proven experience in programming languages including C, C++, or Python. You should be familiar with Linux, Robot Operating System (ROS) and Github, or the necessary transferrable skills to work with these systems. Although you are not required to be familiar with robots, you should be interested in working with them once joined. Your primary role will be programming software packages using the above skills to write robotic applications using the hardware and software developed or available at the BionicDL lab.

Learning Algorithm Development

  • This role is expected to have a good understanding and proven experience in machine learning algorithm application, research, or development. You should be able to reproduce algorithms developed by other labs or academic literature in robotics and machine learning. A solid background in mathematics or physics is necessary to carry out this role, along with the necessary logical thinking capability. Your primary role will be developing machine learning algorithms to be used with robotic hardware. And you will be working constantly with robotic arms, grippers, and vision systems such as RGB-D cameras. A plus if you have experience with High Performance Computing (HPC) or GPU computing algorithm and environment.

Mechatronics Hardware Design

  • This role is expected to have a good understanding and proven experience in electronic systems and hardware development. You should be able to design, fabricate, and test electronic hardware to build working machines and robotic systems. A solid background in embedded systems is preferable for this role, especially if you’ve built robotic systems before by yourself. Your primary role will be design and develop the necessary PCBs, electronics, and testing devices and environment to produce functional prototypes where other team members can work with. A plus if you have experience with common communication protocols including EtherCAT and ModBus.

Industrial Product Design

  • This role is expected to have a good understanding and proven experience in industrial design and product development. You should be able to translate functional requirement into conceptual designs which can be further fabricated into physical prototypes that other team members can work with. You should have a design philosophy or language of your own through previous experience or self-learning. Your primary role will be producing conceptual designs binding all necessary functionalities while exhibiting certain aesthetic appearance as a product. You are highly encouraged to go beyond the designs on screen or papers but going further by building physical models that can be possibly manufactured.
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Contact Us

Contact Address

Room 606, Block 7, Innovation Park, 1088 Xueyuan Road, Shenzhen, Guangdong

Office Phone

0755-88015361

Email

songcy_at_sustech.edu.cn

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