助理教授 |工学院, 机械与能源工程系 课题组网站
博士生导师,深圳市海外高层次人才,IEEE 高级会员、Design Society 会员,曾任美国麻省理工学院博士后、澳大利亚莫纳什大学助理教授。从过约束机构原理出发,以刚柔耦合可重构的设计科学为基础,以视触力感相融合的机器人学习为手段,系统提出并研究过约束机器人学理论与技术,开发具有「跨肢体-跨场景-跨技能」的仿生智能新技术,为陆地向海洋领域特种机器人的可重构设计与技能学习提供技术基础。已提交 32 项专利申请,已授权美国专利 1 项、发明专利7项、实用新型专利 6 项、PCT专利优先权 7 项、已转化 7 项;提出基于龙虾外骨骼的过约束机器人仿生设计理论,首次实现基于 Bennett 机构的过约束两栖足式可重构机器人系统;成立校企联合实验室 1 个并担任主任。近五年主持或参与包括国自然青年项目、国自然重点项目、科技部国家重点研发计划等项目 10 余项;在包括 Science Robotics、Mech. Mach. Theory、Adv. Intell. Syst.、J. Comput. Des. Eng.、Conf. Robot Learning (CoRL)、Trans. Eng. Mgmt. 等发表论文 50 余篇,获 CASE2023 康复自动化最佳论文奖;担任机械设计基础、协作机器人学习等多门课程的责任教师、主持 2 项教改项目并与美国麻省理工学院开展机械工程国际教育合作、主持南方科技大学机器智能设计与学习虚拟教研室 1 项。担任 ICRA2023、ICRA2024 副编委。
个人简介
研究领域
设计科学、机器人学习(https://bionicdl.ancorasir.com/)
教学
担任 ME303/311、ME336、ME491 三门课程的责任教师(https://bionicdl.ancorasir.com/?page_id=16)
ME303/311机械设计基础:自 2018 年秋季至今
- 2023 年,获批「南方科技大学机器智能设计与学习虚拟教研室」,并担任负责人
- 2020 年,获批「 跨课程连贯式大团队实验项目新工科教改 」项目,并担任负责人
ME336协作机器人学习:自 2019 年春季至今
- 国内首门「机器人学习」课程;2018 年,获批「协作机器人用于新工科教学」教改项目(30万)
- 2019 年,受邀在「全国高校人工智能与智能制造教学研讨会」做大会特邀报告
ME491工程实践:自 2020 年夏季至今
- 与麻省理工学院 David Wallace 教授及 Harry Asada 教授开展了多方面国际教学合作
- 自主研制了多款教具系统,应用于 ME303、ME336 课程,并向多所大湾区院校输出
学术成果 查看更多
(Updated on 230922)
Submitted Preprints
X. (2023) – J – IJRR – SoftProprioceptiveLearning | PDF | ArXiv
Xiaobo Liu, Xudong Han, Wei Hong, Fang Wan*, and Chaoyang Song* (2023). “Proprioceptive Learning with Soft Polyhedral Networks.” The International Journal of Robotics Research. (Under Review)
X. (2023) – J – AIS – AutoencodeSoftTouch | PDF | ArXiv
Ning Guo, Xudong Han, Xiaobo Liu, Shuqiao Zhong, Zhiyuan Zhou, Jian Lin, Jiansheng Dai, Fang Wan*, and Chaoyang Song* (2023). “Autoencoding a Soft Touch to Learn Grasping from On-land to Underwater.” Advanced Intelligent Systems. (Under Review)
X. (2023) – J – SoRo – SeeThruFinger | PDF | ArXiv
Fang Wan, and Chaoyang Song* (2023). “SeeThruFinger: See and Grasp Anything with a Soft Touch.” Soft Robotics. (Under Review)
X. (2023) – J – Biomimetics – PropSkinTouch | PDF | ArXiv
Xiaobo Liu, Xudong Han, Ning Guo, Fang Wan*, and Chaoyang Song* (2023). “Bio-inspired Proprioceptive Touch of a Soft Finger with Inner-Finger Kinesthetic Perception.” Biomimetics. (Under Review)
X. (2023) – C – ICRA2024 – SoftRoboticTongs | PDF | ArXiv
Yujian Dong#, Tianyu Wu#, Yang Xiao, Jinqi Wei, Fang Wan*, and Chaoyang Song* (2023). “Vision-based, Low-cost, Soft Robotic Tongs for Shareable and Reproducible Tactile Learning.” IEEE International Conference on Robotics and Automation (ICRA). (Under Review)
X. (2023) – C – ICRA2024 – ACDC4Robot | PDF | ArXiv | GitHub
Nuofan Qiu, Fang Wan*, and Chaoyang Song* (2023). “Describing Robots from Design to Learning: Towards an Interactive Lifecycle Representation of Robots.” IEEE International Conference on Robotics and Automation (ICRA). (Under Review)
X. (2023) – C – ICRA2024 – InFingerSoftManip | PDF | ArXiv
Sen Li, Fang Wan*, and Chaoyang Song* (2023). “Active Surface with Passive Omni-Directional Adaptation of Soft Polyhedral Fingers for In-Hand Manipulation.” IEEE International Conference on Robotics and Automation (ICRA). (Under Review)
X. (2023) – C – ICRA2024 – VisualPropModel | PDF | ArXiv
Ning Guo, Xudong Han, Shuqiao Zhong, Xiaobo Liu, Zhiyuan Zhou, Jian Lin, Fang Wan*, and Chaoyang Song* (2023). “Visual-based Proprioception Model towards Soft Finger.” IEEE International Conference on Robotics and Automation (ICRA). (Under Review)
X. (2023) – C – ICDL – TactileMap | PDF | ArXiv
Xudong Han, Sheng Liu, Fang Wan* and Chaoyang Song* (2023). “Vision-based Tactile Sensing for an Omni-adaptive Soft Finger.” IEEE International Conference on Development and Learning (ICDL). Macau, China, on 9-11 November 2023 (Accepted).
X. (2023) – C – CASE – ThroatHead | PDF | ArXiv
Yuqin Guo#, Rongzheng Zhang#, Wanghongjie Qiu, Harry Asada, Fang Wan* and Chaoyang Song* (2023). “Underwater Intention Recognition using Head Motion and Throat Vibration for Supernumerary Robotic Assistance.” IEEE International Conference on Automation Science and Engineering (CASE). Auckland, New Zealand, on 26-30 August 2023 (Accepted).
Award: IEEE RAS Travel Grant (Rongzheng Zhang) | About the Award
Award: Best Healthcare Automation Paper Award | About the Award
Journal Articles
29. (2023) – J – JCDE – OCLimbDesign | PDF
Yuping Gu, Ziqian Wang, Shihao Feng, Haoran Sun, Haibo Lu, Jia Pan*, Fang Wan*, and Chaoyang Song* (2023). “Computational Design Towards Energy Efficient Optimization in Overconstrained Robotic Limbs.” Journal of Computational Design and Engineering, 10: 1-16.
28. (2023) – J – Biomimetics – LocoManipulation | PDF
Haoran Sun#, Linhan Yang#, Yuping Gu, Jia Pan*, Fang Wan*, and Chaoyang Song* (2023). “Bridging Locomotion and Manipulation Using Reconfigurable Robotic Limbs via Reinforcement Learning.” Biomimetics, 8(4), 364.
27. (2023) – J – AIS – UnderwaterSuperlimb | PDF
Jiayu Huo#, Jingran Wang#, Yuqin Guo, Wanghongjie Qiu, Mingdong Chen, Harry Asada, Fang Wan*, and Chaoyang Song* (2023). “Reconfigurable Design and Modeling of an Underwater Superlimb for Diving Assistance.” Advanced Intelligent Systems, 2300245.
26. (2023) – J – RAL – TacGNN | PDF
Linhan Yang, Bidan Huang*, Qingbiao Li, Ya-Yen Tsai, Wang Wei Lee, Chaoyang Song, and Jia Pan (2023). “TacGNN: Learning Tactile-based In-hand Manipulation with a Blind Robot using Hierarchical Graph Neural Network.” IEEE Robotics and Automation Letters, 8(6): 3605-3612.
25. (2023) – J – Robotica – MagneticLocalization | PDF
You Li, Zhuokang Huang, Xiaobo Liu, Yu Jie, Chaoyang Song, and Chengzhi Hu* (2023). “Calibrated analytical model for magnetic localization of wireless capsule endoscope based on onboard sensing.” Robotica, 41, pp. 1500–1514.
24. (2022) – J – MMT – BennettRoboticLeg | PDF
Yuping Gu, Shihao Feng, Yuqin Guo, Fang Wan, Jian S. Dai, Jia Pan, and Chaoyang Song* (2022). “Overconstrained Coaxial Design of Robotic Legs with Omni-directional Locomotion.” Mechanism and Machine Theory, 176:105018.
Hao Tian, Chaoyang Song, Changbo Wang, Xinyu Zhang, and Jia Pan* (2022). “Sampling-Based Planning for Retrieving Near-Cylindrical Objects in Cluttered Scenes Using Hierarchical Graphs,” IEEE Transactions on Robotics, 39(1):165-182, Feb. 2023.
21. (2022) – J – RAL – TactileSkin | PDF
Youcan Yan, Yajing Shen, Chaoyang Song, and Jia Pan* (2022). “Tactile Super-Resolution Model for Soft Magnetic Skin.” IEEE Robotics and Automation Letters, 7(2):2589-2596.
20. (2022) – J – FROBT – DeepClaw2.0 | PDF
Haokun Wang, Xiaobo Liu, Nuofan Qiu, Ning Guo, Fang Wan, and Chaoyang Song* (2022). “DeepClaw 2.0: A Data Collection Platform for Learning Human Manipulation.” Frontiers in Robotics and AI, 9:787291.
19. (2021) – J – RAL – VESA | PDF
Baiyue Wang, Weijie Guo, Shihao Feng, Hongdong Yi, Fang Wan, and Chaoyang Song* (2021). “Volumetrically Enhanced Soft Actuator with Proprioceptive Sensing.” IEEE Robotics and Automation Letters, 6(3):5284-5291.
18. (2021) – J – RAL – OptoSensingFinger | PDF
Linhan Yang, Xudong Han, Weijie Guo, Fang Wan, Jia Pan, and Chaoyang Song* (2021). “Learning-based Optoelectronically Innervated Tactile Finger for Rigid- Soft Interactive Grasping.” IEEE Robotics and Automation Letters, 6(2):3817-3824.
17. (2021) – J – SciRob – SoftMagneticSkin | PDF
Youcan Yan, Zhe Hu, Zhengbao Yang, Wenzhen Yuan, Chaoyang Song, Jia Pan*, and Yajing Shen* (2021). “Soft magnetic skin for super-resolution tactile sensing with force self-decoupling.” Science Robotics, 6(51):eabc8801.
16. (2020) – J – TMech – OtariidaeSuperlimb | PDF
Sicong Liu, Yuming Zhu, Zicong Zhang, Zhonggui Fang, Jiyong Tan, Jing Peng, Chaoyang Song, Harry Asada, and Zheng Wang* (2020). “Otariidae-inspired Soft-robotic Supernumerary Flippers by Fabric Kirigami and Origami.” IEEE/ASME Transactions on Mechatronics, 26(5):2747-2757.
15. (2021) – J – FROBT – LobsterFingerSurface | PDF
Haiyang Jiang, Xudong Han, Yonglin Jing, Ning Guo, Fang Wan and Chaoyang Song* (2022). “Rigid–Soft Interactive Design of a Lobster-Inspired Finger Surface for Enhanced Grasping Underwater.” Frontiers in Robotics and AI, 8:787187.
14. (2020) – J – RAL – OmniGripper | PDF
Fang Wan, Haokun Wang, Jiyuan Wu, Yujia Liu, Sheng Ge, and Chaoyang Song* (2020). “A Reconfigurable Design for Omni-adaptive Grasp Learning.” IEEE Robotics and Automation Letters, 5(3):4210-4217.
13. (2020) – J – RAL – InteractiveLearning | PDF
Linhan Yang, Fang Wan, Haokun Wang, Xiaobo Liu, Yujia Liu, Jia Pan, and Chaoyang Song* (2020). “Rigid-Soft Interactive Learning for Robust Grasping.” IEEE Robotics and Automation Letters, 5(2):1720-1727.
12. (2020) – J – FROBT – FlangeCalibration | PDF
Fang Wan and Chaoyang Song* (2020). “Flange-Based Hand-Eye Calibration Using a 3D Camera With High Resolution, Accuracy, and Frame Rate.” Frontiers in Robotics and AI, 7:65.
11. (2019) – J – TRO – OrigamiJoint | PDF
Juan Yi, Xiaojiao Chen, Chaoyang Song, Jianshu Zhou, Yujia Liu, Sicong Liu, and Zheng Wang* (2019). “Customizable Three-Dimensional-Printed Origami Soft Robotic Joint With Effective Behavior Shaping for Safe Interactions.” IEEE Transactions on Robotics, 35(1):114-123.
10. (2018) – J – SoRo – FORA | PDF
Juan Yi, Xiaojiao Chen, Chaoyang Song, and Zheng Wang* (2018). “Fiber-Reinforced Origamic Robotic Actuator.” Soft Robotics, 5(1):81–92.
9. (2018) – J – JMD – InnovationCharacteristics | PDF
Katja Hölttä-Otto*, Kevin Otto, Chaoyang Song, Jianxi Luo, Timothy Li, Carolyn C. Seepersad, Warren Seering (2018). “The Characteristics of Innovative, Mechanical Products—10 Years Later.” Journal of Mechanical Design, 140(8):084501.
7. (2017) – J – JMM – HybridActuator | PDF
Yaohui Chen, Fang Wan, Tong Wu, and Chaoyang Song* (2017). “Soft-rigid Interaction Mechanism towards a Lobster-inspired Hybrid Actuator.” Journal of Micromechanics and Microengineering, 28(1):014007.
6. (2015) – J – MMT – BennettNetwork | PDF
Chaoyang Song, Huijuan Feng, Yan Chen*, I-Ming Chen, and Rongjie Kang (2015). “Reconfigurable Mechanism Generated from the Network of Bennett Linkages.” Mechanism and Machine Theory, 88:49–62.
5. (2014) – J – JMR – BricardKinematics | PDF
Chaoyang Song, Yan Chen*, and I-Ming Chen (2014). “Kinematic Study of the Original and Revised General Line-Symmetric Bricard 6R Linkages.” Journal of Mechanisms and Robotics, 6(3):031002.
4. (2013) – J – MMT – BricardBennett | PDF
Chaoyang Song, Yan Chen*, and I-Ming Chen (2013). “A 6R Linkage Reconfigurable between the Line-symmetric Bricard Linkage and the Bennett Linkage.” Mechanism and Machine Theory, 70:278–292.
3. (2012) – J – MMT – DoubleSubtractiveGoldberg | PDF
Chaoyang Song and Yan Chen* (2012). “Multiple Linkage Forms and Bifurcation Behaviours of the Double-subtractive-Goldberg 6R Linkage.” Mechanism and Machine Theory, 57:95–110.
2. (2011) – J – RoyalSocietyA – MixedDoubleGoldberg | PDF
Chaoyang Song and Yan Chen* (2011). “A Family of Mixed Double-Goldberg 6R Linkages.” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 468(2139):871–890.
1. (2011) – J – MMT – DoubleSubtractiveGoldberg | PDF
Chaoyang Song and Yan Chen* (2011). “A Spatial 6R Linkage Derived from Subtractive Goldberg 5R Linkages.” Mechanism and Machine Theory, 46(8):1097–1106.
Conference Papers
21. (2023) – C – ICARM – JigsawLearning | PDF | ArXiv
Xiaobo Liu#, Fang Wan#*, Sheng Ge, Haokun Wang, Haoran Sun, and Chaoyang Song (2023). “Jigsaw-based Benchmarking for Learning Robotic Manipulation.” IEEE International Conference on Advanced Robotics and Mechatronics (ICARM). Sanya, China, 8-10 July 2023, pp. 124-130.
doi: https://doi.org/10.1109/ICARM58088.2023.10218784
Awards: Best Conference Paper Finalist | About the Award
20. (2022) – C – IDETC – SoftWearableElbow | PDF
Juan Yi, Xiaojiao Chen, Zhonggui Fang, Yujia Liu, Dehao Duanmu, Yinyin Su, Chaoyang Song, Sicong Liu, Zheng Wang* (2022). “A Soft Wearable Elbow Skeleton for Safe Motion Assistance by Variable Stiffness.” Proceedings of the ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 7: 46th Mechanisms and Robotics Conference (MR). Cleveland, Ohio, USA. 14–17 August 2022. V007T07A052. Paper No: DETC2022-90320.
19. (2021) – C – RoboSoft – LobsterSurface | PDF
Haiyang Jiang, Yonglin Jing, Ning Guo, Weijie Guo, Fang Wan, and Chaoyang Song* (2021). “Lobster-inspired Finger Surface Design for Grasping with Enhanced Robustness,” IEEE International Conference on Soft Robotics (RoboSoft), New Haven, CT, USA, 12-16 April 2021, pp. 321-326.
18. (2021) – C – ICRA – OverconstrainedLeg | PDF
Shihao Feng, Yuping Gu, Weijie Guo, Yuqin Guo, Fang Wan, Jia Pan, and Chaoyang Song* (2021). “An Overconstrained Robotic Leg with Coaxial Quasi-direct Drives for Omni-directional Ground Mobility.” IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China, 30 May-5 June 2021, pp. 11477-11484.
17. (2021) – C – CoRL – VisualForceLearning | PDF
Fang Wan, Xiaobo Liu, Ning Guo, Xudong Han, Feng Tian, and Chaoyang Song* (2020). “Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness.” Proceedings of the 5th Conference on Robot Learning (CoRL), PMLR 164:1269-1278, 2022.
16. (2020) – C – RoboSoft – OmniFinger | PDF | ArXiv
Zeyi Yang, Sheng Ge, Fang Wan, Yujia Liu, and Chaoyang Song* (2020). “Scalable Tactile Sensing for an Omni-adaptive Soft Robot Finger.” IEEE International Conference on Soft Robotics (RoboSoft), New Haven, CT, USA, 15 May-15 July 2020, pp. 572-577.
15. (2020) – C – RoboSoft – SuperCane | PDF | ArXiv
Xia Wu, Haiyuan Liu, Ziqi Liu, Mingdong Chen, Fang Wan, Chenglong Fu, Harry Asada, Zheng Wang, and Chaoyang Song* (2020). “Robotic Cane as a Soft SuperLimb for Elderly Sit-to-Stand Assistance.” IEEE International Conference on Soft Robotics (RoboSoft), New Haven, CT, USA, 15 May-15 July 2020, pp. 599-606.
14. (2020) – C – AIM – DeepClaw | PDF | ArXiv
Fang Wan, Haokun Wang, Xiaobo Liu, Linhan Yang, and Chaoyang Song* (2020). “DeepClaw: A Robotic Hardware Benchmarking Platform for Learning Object Manipulation.” IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Boston, MA, USA, 6-10 July 2020, pp. 2011-2018.
13. (2019) – C – RCAR – SoftAnkle | PDF
Xinyao Hu*, Chuang Luo, Hao Li, Liyao Jia, Chaoyang Song, Zheng Wang, and Xingda Qu (2019). “An Ankle Based Soft Active Orthotic Device Powered by Pneumatic Artificial Muscle.” IEEE International Conference on Real-time Computing and Robotics (RCAR), Irkutsk, Russia, 4-9 August 2019, pp. 374-378.
12. (2018) – C – RCAR – AcrobotDynamics | PDF
Xiaojiao Chen, Tommy Hu, Chaoyang Song, and Zheng Wang* (2018). “Analytical Solution to Global Dynamic Balance Control of the Acrobot.” IEEE International Conference on Real-time Computing and Robotics (RCAR), Kandima, Maldives, 1-5 August 2018, pp. 405-410.
11. (2017) – C – ICRA – LobsterActuator | PDF | ArXiv
Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, and Chaoyang Song* (2017). “A Reconfigurable Hybrid Actuator with Rigid and Soft Components.” IEEE International Conference on Robotics and Automation (ICRA), Marina Bay Sands, Singapore, 29 May-3 June 2017, pp. 58-63.
9. (2017) – C – ROBIO – GaitWearable | PDF | ArXiv
Fang Wan, Zheng Wang, Brooke Franchuk, Xinyao Hu, Zhenglong Sun, and Chaoyang Song* (2017). “Hybrid Actuator Design for a Gait Augmentation Wearable.” IEEE International Conference on Robotics and Biomimetics (ROBIO), Macau, Macao, 5-8 December 2017, pp. 2298-2302.
8. (2017) – C – IDETC – LobsterMechanics | PDF | ArXiv
Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, and Chaoyang Song* (2017). “A Lobster-Inspired Hybrid Actuator with Rigid and Soft Components.” Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 5B: 41st Mechanisms and Robotics Conference. Cleveland, Ohio, USA. 6-9 August 2017. V05BT08A023.
7. (2016) – C – RCAR – SoftGlove | PDF
Juan Yi, Zhong Shen, Chaoyang Song, and Zheng Wang* (2016). “A soft robotic glove for hand motion assistance.” IEEE International Conference on Real-time Computing and Robotics (RCAR), Angkor Wat, Cambodia, 6-10 June 2016, pp. 111-116.
doi: https://doi.org/10.1109/rcar.2016.7784010
Award: Best Conference Paper Award Finalist | About RCAR
6. (2015) – C – IDETC – CrowdFundedDesign | PDF
Chaoyang Song*, Jianxi Luo, Katja Hölttä-Otto, Kevin Otto, Warren Seering (2015). “The Design of Crowd-Funded Products.” Proceedings of the ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 7: 27th International Conference on Design Theory and Methodology. Boston, Massachusetts, USA. 2-5 August 2015. V007T06A040.
5. (2015) – C – ICED – RiskInnovation | PDF
Chaoyang Song*, Jianxi Luo, Katja Hölttä-Otto, Kevin Otto, and Warren Seering (2015). “Risk and Innovation Balance for Crowd-Funded New Venture Products.” International Conference on Engineering Design (ICED), Vol 8: Innovation and Creativity, Milan, Italy, 27-30.07.15.
Award: ICED Reviewers’ Favorites Award | About Design Society and ICED
4. (2014) – C – AoM – InnovationDifference | PDF
Chaoyang Song*, Jianxi Luo, Katja Hölttä-Otto, and Kevin Otto (2014). “Product Innovation Differences between New Ventures and Incumbent Firms.” Annual Meeting of the Academy of Management (AoM). Philadelphia, PA, USA, 1-5 August 2014.
3. (2013) – C – ISRM – BricardBifurcation | PDF
Chaoyang Song, Yan Chen*, and I-Ming Chen (2013). “Bifurcation Behaviour of the Line-Symmetric Bricard Linkage without Offsets.” IFToMM International Symposium on Robotics and Mechatronics (ISRM), Singapore, 2-4 October 2013.
2. (2012) – C – ReMAR – SpecialWohlhart | PDF
Chaoyang Song and Yan Chen* (2012). “A Special Wohlharts Double-Goldberg 6R Linkage and Its Multiple Operation Forms among 4R and 6R Linkages.” ASME/IEEE International Conference on Reconfigurable Mechanisms and Robots (ReMAR), 1:168999. Tianjin, China, 9-11 July 2012.
doi: https://doi.org/10.1007/978-1-4471-4141-9_5
Award: Young Delegate Travel Grant | About IFToMM and ReMAR
1. (2011) – C – MuSME – GoldbergBifurcation | PDF
Chaoyang Song and Yan Chen* (2011). “The Original Double-Goldberg 6R Linkage and Its Bufircation Analysis.” IFToMM International Symposium on Multibody Systems and Mechatronics (MuSME), 50922. Valencia, Spain, 25-28 October 2011.
Workshops, Dual-Track & Others
7. (2023) – C– IROS – TacGNN | PDF
Linhan Yang, Bidan Huang*, Qingbiao Li, Ya-Yen Tsai, Wang Wei Lee, Chaoyang Song, and Jia Pan (2023). “TacGNN: Learning Tactile-Based In-Hand Manipulation with a Blind Robot Using Hierarchical Graph Neural Network.” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1 – 5 October 2023, Huntington Place, Detroit, Michigan, USA.
Dual-track Submission with RAL: 23. (2023) – C– IROS – TacGNN
6. (2022) – C – ICRA – TactileSkin | PDF | ArXiv
Youcan Yan, Yajing Shen, Chaoyang Song, and Jia Pan* (2022). “Tactile Super-Resolution Model for Soft Magnetic Skin.” IEEE International Conference on Robotics and Automation (ICRA), 23 – 27 May 2022, Philadelphia (PA), USA.
Dual-track Submission with RAL: 21. (2022) – J – RAL – TactileSkin
5. (2021) – C – ICRA – OptoSensingFinger | PDF | ArXiv
Linhan Yang, Xudong Han, Weijie Guo, Fang Wan, Jia Pan, and Chaoyang Song* (2021). “Learning-based Optoelectronically Innervated Tactile Finger for Rigid- Soft Interactive Grasping.” IEEE International Conference on Robotics and Automation (ICRA), 30 May – 5 June 2021, Xi’an, China.
Dual-track Submission with RAL: 18. (2021) – J – RAL – OptoSensingFinger
4. (2021) – A – ArXiv – ProprioceptiveLinearLegs | PDF | ArXiv
Bingchen Jin, Yueheng Zhou, Ye Zhao, Ming Liu, Chaoyang Song, Jianwen Luo (2021). “An Adaptive Control Algorithm for Quadruped Locomotion with Proprioceptive Linear Legs.” arXiv, doi: 10.48550/arXiv.2107.12482
3. (2020) – C – RoboSoft – OmniGripper | PDF | ArXiv
Fang Wan, Haokun Wang, Jiyuan Wu, Yujia Liu, Sheng Ge, and Chaoyang Song* (2020). “Reconfigurable Design for Omni-adaptive Grasp Learning.” IEEE International Conference on Soft Robotics (RoboSoft), 15 May – 15 July 2020, New Haven, CT, USA.
Dual-track Submission with RAL: 14. (2020) – J – RAL – OmniGripper
2. (2020) – A – ArXiv – SuperLimbOverHead | PDF | ArXiv
Jianwen Luo, Sicong Liu, Chengyu Lin, Yong Zhou, Zixuan Fan, Zheng Wang, Chaoyang Song, H. Harry Asada, Chenglong Fu (2020). “Mapping Human Muscle Force to Supernumerary Robotics Device for Overhead Task Assistance.” arXiv, doi: 10.48550/arXiv.2107.13799
IEEE/ASME AIM 2020 WORKSHOP ON SUPERNUMERARY ROBOTIC DEVICES
1. (2020) – C – ICRA – InteractiveLearning | PDF | ArXiv
Linhan Yang, Fang Wan, Haokun Wang, Xiaobo Liu, Yujia Liu, Jia Pan, and Chaoyang Song* (2020). “Rigid-Soft Interactive Learning for Robust Grasping.” IEEE International Conference on Robotics and Automation (ICRA), 31 May – 31 August 2020, Paris, France.
Dual-track Submission with RAL: 13. (2020) – J – RAL – InteractiveLearning
Invited Presentations
(2020) – T – SAIIA – RobotLearning | PDF
Song Chaoyang, Robot Learning and Design Intelligence, Shenzhen, SAIIA.
Source: https://mp.weixin.qq.com/s/HNXW4BfnuElt5eS8_Il_mA
(2019) – T – IROS – SuperCane | PDF
Song Chaoyang, Robotic Cane as an Ambient Super-Limb for Assistive Elderly Motion Transition, 2019 IROS Workshop on Supernumerary Robotic Limb.
Source: https://darbelofflab.mit.edu/2019-iros-workshop/
(2019) – T – WisdomPark – DesignScience | PDF
Song Chaoyang, Design Science for Advanced Robotics, Public Presentation at the Wisdom Park.
(2019) – T – CobotSys – CobotLearning | PDF
Song Chaoyang, Collaborative Robot Learning, 全国高校人工智能与智能制造教学研讨会
Source: https://www.cobotsys.com/newsinfo/1777207.html
(2019) – T – ICRA – JigsawBenchmarking | PDF
Xiaobo Liu, Fang Wan, Haoran Sun, Qichen Luo, Wei Zhang and Chaoyang Song*, Jigsaw-based Benchmarking for Learning Robotic Manipulation, 2019 ICRA Workshop on Benchmarks for Robotic Manipulation.
Source: https://www.ycbbenchmarks.com/ICRA2019_workshop
(2015) – T – Monash | PDF
Song Chaoyang, From Linkage Kinematics to Crowdfunding Entrepreneurship – Perfect Designs in an Imperfect World, Monash University, June 11.
(2014) – T – INFORMS – CrowdfundingDesign | PDF
Song Chaoyang, Luo Jianxi, Katja Hölttä-Otto, Kevin Otto & Warren Seering, Critical Factors about the Crowdfunding Success of Consumer Electronics – Empirical Testing with 3D Printers and Smart Watches on Kickstarter and Indiegogo, Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2014), San Francisco, California, USA, November 09 – 12. (Invited Conference Presentation).
(2014) – T – MIT – CrowdfundingDesign | PDF
Song Chaoyang, How to Get Crowdfunded, Design Seminar at the Department of Mechanical Engineering, Massachusetts Institute of Technology, September 24.
(2013) – T – SUTD – DesignInnovation | PDF
Song Chaoyang, Successful Balance of Innovation and Risk in New Ventures and Mature Companies, Research Meeting for the International Design Center, Singapore University of Technology and Design, October 16.
Doctoral Thesis
1. (2013) – T – NTU – KinematicsDesign | PDF
Chaoyang Song (2013). “Kinematic Study of Overconstrained Linkages and Design of Reconfigurable Mechanisms.” Nanyang Technological University, Singapore, 190 pages. https://hdl.handle.net/10356/55261
加入团队
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.