Towards the Science of Robotics and Autonomy

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Website Migration Notice!

RA Group New Website: https://ragroup.hkust.edu.hk/

The old website will no longer be updated.

recent-news

Recent News

staff

Staff



Michael Yu Wang 王煜

Chair Professor

E-mail: mywang@ust.hk



David Ho

Postdoc

E-mail: davidho@ust.hk





DUAN Jianghua 段江哗

Postdoc

E-mail: jhduan@ust.hk
PhD University of Chinese Academy of Sciences



ZHANG Lei 张磊

Postdoc

E-mail: leizhang@ust.hk





SONG Yelin 宋烨麟

Research Assistant

E-mail: yelinsong@ust.hk
M.S. Shanghai Jiaotong University

B.S. Harbin Insititute of Technolog



Sheeraz Athar

Engineer

E-mail: sathar@connect.ust.hk
M.Phil. Hong Kong University of Science and Technology
B.S. Aligarh Muslim University





MA Qingping 马青平

Postdoc (2021 – now)

E-mail: qmaaj@connect.ust.hk
Ph.D. Hong Kong University of Science and Technology
B.E. Harbin Institute of Technology



CHEUNG Kiki

Research Engineer (2020 – now)

E-mail: kcheungae@connect.ust.hk
M.Phil. Hong Kong University of Science and Technology


research-fields

Research Fields

We are now focusing on these fields:


Gecko

Inspired by nature

Geckos are small lizards belonging to the infraorder Gekkota, found in warm climates throughout the world. They range from 1.6 to 60 cm (0.64 to 24 inches). Most geckos cannot blink, but they often lick their eyes to keep them clean and moist. They have a fixed lens within each iris that enlarges in darkness to let in more light.

The amazing adhesion of gecko pads to almost any kind of surfaces has inspired a very active research direction over the last decade: the investigation of how geckos achieve this feat and how this knowledge can be turned into new strategies to reversibly join surfaces.

In our research, we are focusing on gecko-inspired adhesive pads and their applications.
Read more about Gecko


Origami and 3D Printing

Inspired by the art of paper-folding

Origami (折り紙, Japanese pronunciation: [oɾiɡami], from ori meaning “folding”, and kami meaning “paper” (kami changes to gami due to rendaku)) is the art of paper folding, which is often associated with Japanese culture. In modern usage, the word “origami” is used as an inclusive term for all folding practices, regardless of their culture of origin. The goal is to transform a flat square sheet of paper into a finished sculpture through folding and sculpting techniques. Modern origami practitioners generally discourage the use of cuts, glue, or markings on the paper. Origami folders often use the Japanese word kirigami to refer to designs which use cuts.

Structures with origami design enable objects to transform into various three-dimensional shapes. In our research we are focusing on origami-inspired functional structures. (e.g. robotic gripper, pneumatic actuators.)
Read more about Origami


Robot Learning

Learning intelligence from data

Robot learning is a research field at the intersection of machine learning and robotics. It studies techniques allowing a robot to acquire novel skills or adapt to its environment through data-driven learning. The embodiment of the robot, situated in a physical embedding, provides at the same time specific difficulties and opportunities for guiding the learning process.

Our research mostly lies in perception and planning problems in the physical world, including robotic planning under physical interaction, autonomous driving under social interaction, etc. We are dedicated to developing robust, efficient and interpretable frameworks for our perception & planning modules.

Read more about Robot Learning


Finger Vision

Simulating human senses

Tactile sensing is essential to the human perception system, so as to robot. In this paper, we develop a novel optical-based tactile sensor “FingerVision” with effective signal processing algorithms.

This sensor is composed of soft skin with embedded marker array bonded to rigid frame, and a web camera with a fisheye lens. While being excited with contact force, the camera tracks the movements of markers and deformation field is obtained. Compared to existing tactile sensors, our sensor features compact footprint, high resolution, and ease of fabrication.


Topology Optimization

Optimize Engineering Structures Automatically

Topology optimization (TO) is a mathematical method that optimizes material layout within a given design space, for a given set of loads, boundary conditions and constraints with the goal of maximizing the performance of the system. TO is different from shape optimization and sizing optimization in the sense that the design can attain any shape within the design space, instead of dealing with predefined configurations.

The conventional TO formulation uses a finite element method (FEM) to evaluate the design performance. The design is optimized using either gradient-based mathematical programming techniques such as the optimality criteria algorithm and the method of moving asymptotes or non gradient-based algorithms such as genetic algorithms.

Our group are now focusing on B-spline based topology optimization and its applicatons.

people_two_main

Students



CANG Mingpei

Ph.D. Student (2021-now)

E-mail: mcang@connect.ust.hk

B.E. Dalian University of Technology




Yulin Li

Ph.D. Student (2021 – now)

E-mail: yline@connect.ust.hk

B.E.Tongji University
M.S.University of California, San Diego




CAI Junhao 蔡俊浩

Ph.D. Student (2020-now)

E-mail: junhao.cai@connect.ust.hk

M.E. Sun Yat-sen University
B.E. South China Normal University




Kia Dastani

Ph.D. Student (2020 – now)

E-mail: kdastani@connect.ust.hk

B.S: Iran university of science and technology
M.S: University of Tehran



WANG Qi 王琪

Ph.D. Student (2020-now)

E-mail: qwangcl@connect.ust.hk

B.E. Southern University of Science and Technology




MAK Kin Wing 麥建荣

M.Phil. Student (2020 – now)

E-mail: kwmakaf@connect.ust.hk

B.E. Hong Kong University of Science and Technology






WANG Qicheng王麒丞

M.Phil. Student (2020 – now)

E-mail: qwangco@connect.ust.hk

B.S. Haribin Institute of Technology




CEN Jun 岑俊

Ph.D. Student (2020 – now)

E-mail: jcenaa@connect.ust.hk

B.S. Zhejiang University






WANG Haokun 王昊坤

M.Phil. Student (2020 – now)

E-mail: hwangeh@connect.ust.hk

B.E. Southern University of Science and Technology(SUSTech)




ZHU Yiyao 朱熠耀

Ph.D. Student (2020 – now)

E-mail: yzhucp@connect.ust.hk

B.S. Zhejiang University






LIU Shuai 刘帅

Ph.D. Student (2018 – now)

E-mail: sliubw@connect.ust.hk

Bsc. University of Science and Technology of China




ZHANG Kun 张坤

Ph.D. Student (2019 – now)

E-mail: kun.zhang@connect.ust.hk

M.S. University of Macau
B.S. Harbin Engineering University






PANG ChoHei 彭祖熹

Ph.D. Student (2019 – now)

E-mail: chpangad@connect.ust.hk

BEng. Hong Kong University of Science and Technology (2015-2019)




ZHANG Guanlan 张冠澜

Ph.D. Student (2019 – now)

E-mail: gzhangaq@connect.ust.hk

B.Eng. City University of Hong Kong






PEI Muleilan

Ph.D. Student (2021 – now)

E-mail: mpei@connect.ust.hk

B.ENG Harbin Institute of Technology
M.ENG Harbin Institute of Technology




LUAN Di 栾迪

Ph.D. Student (2019 – now)

E-mail: dluan@connect.ust.hk

B.S. Zhejiang University






DU Yipai 杜仪湃

Ph.D. Student (2019 – now)

E-mail: yduaz@connect.ust.hk

M.S. KTH Royal Institute of Technology
B.S. University of Michigan – Shanghai Jiao Tong University Joint Institute



Shoaib Aslam

Ph.D. Student (2021 – now)

E-mail: saslamaa@connect.ust.hk

M.S. University of Engineering and Technology Taxila, Pakistan
B.S. University of Engineering and Technology Taxila, Pakistan

group-o-chart

Group O-Chart

alumni

Alumni

  • CHEN Feifei 陈飞飞  ——  PhD Student from 2013 to 2017 (Now at Shanghai Jiao Tong University)
  • ZHANG Hongying 张红影  ——  PhD Student from 2013 to 2017 (Now at NUS)
  • ZHANG Yang 张扬  ——  Postdoc Fellow from 2016 to 2017 (Now at Shanghai Jiao Tong University)
  • YANG Yang 杨扬  ——  Postdoc Fellow from 2018 to 2020 (Now at Nanjing University of Information Science and Technology)
  • WANG Yiqiang 王毅强 —— Postdoc Fellow from 2016 to 2017 (Now at Dalian University of Technology)
  • YUAN Weihao 原玮浩  —— PhD Student from 2016 to 2020 (Now at Alibaba)
  • ZHANG Yazhan 张雅展  —— PhD Student from 2016 to 2020 (Now at Tencent)
  • ZONG Hongming 宗洪明  —— PhD Student from 2016 to 2020 (Now at Huawei)
  • LIU Hui 刘辉 —— Hong Kong Scholar from 2018-2019 (Now at Wuhan University)
  • SONG Haoran 宋浩然 —— PhD Student from 2017-2021 (Now at Huawei)
  • XIE Yu 谢宇 —— PhD Student from 2017-2021 (Now at Huawei)
  • HE Yu 何宇 —— PhD Student from 2017-2021 (Now at Goldman Sachs)
  • KAN Zicheng 阚子程 —— PhD Student from 2017-2021 (Now at JingDong)
join-us

Join Us

We welcome outstanding candidates from diverse scientific backgrounds. We also welcome visitors from other universities throughout the world. If you are interested in becoming a member of our team, please send your CV and a brief introduction.

Graduate Students We have a big team now, with limited positions for new Ph.D. / M.Phil students. For interested and competitive candidates, please send us an email with your CV, ranking & transcript.

Postdoctoral Fellows We have positions open for competitive Postdoctoral Fellows. Applicants should have a Ph.D. in our research-related areas. Please send an email describing your interests together with your CV.

Undergraduates We welcome undergraduates (from HKUST or other universities) who intend to do UROP, independent research, or summer intern in our lab. Please drop us an email together with your CV, transcript, and a brief research statement indicating which direction you hope to join.

Contact Us