Zhe Hu

I am a PhD student at CityU (work at HKU), where I work on Robotics and Natural Language Processing (NLP) supervised by Prof.Jia Pan.

I worked as an intern at Dorabot Inc and RAL (Robotics and Autonomous Driving Lab) at Baidu Research during summer break.

Email | CV

 
Project

There are two representative works I did during my undergraduate study and summer break.

Badminton Doubles Robot

Video Friday on IEEE Spectrum, 2015
video

The Best Engineering Award for Asia-Pacific Robot Contest (ABU Robocon 2015)

We also made a performance for robot vs human champion (Jiong Dong). See the video.

Teahouse robot

Baidu AI Create Conference, 2019
video

This robot shows the combination of NLP, CV and Robotics.

Research

I'm interested in any field in Robotics and Cross-Modal problems (robotics, computer vison and natural language processing).

3D Deformable Object Manipulation using Deep Neural Network
Zhe Hu, Tao Han, Peigen Sun, Jia Pan*, Dinesh Manocha
IEEE Robotics and Automation Letters, 2019 (also accepted by IROS 2019)
video / bibtex

Using DNN to servo-control the shape and position of deformable objects. We also present a robust occlussion removing algorithm in this paper.

A General Robotic Framework for Automated Cloth Assembly
Peigen Sun, Zhe Hu, Jia Pan*
IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2019
(Best Student Paper Award)
video / bibtex

Using DNN to servo-control the shape and position of deformable objects. We also present a robust occlussion removing algorithm in this paper.

Safe Navigation with Human Instructions in Complex Scenes
Zhe Hu, Jia Pan*, Tingxiang Fan, Dinesh Manocha
IEEE Robotics and Automation Letters, 2019 (also accepted by ICRA 2019)
video / bibtex

Using DNN to servo-control the shape and position of deformable objects. We also present a robust occlussion removing algorithm in this paper.

Cloth Manipulation Using Random-Forest-Based Imitation Learning
Biao Jia, Zherong Pan, Zhe Hu, Jia Pan, Dinesh Manocha
IEEE Robotics and Automation Letters, 2019 (also accepted by ICRA 2019)
video / bibtex

Using DNN to servo-control the shape and position of deformable objects. We also present a robust occlussion removing algorithm in this paper.

Three-Dimensional Deformable Object Manipulation Using Fast Online Gaussian Process Regression
Zhe Hu, Peigen Sun, Jia Pan*
IEEE Robotics and Automation Letters, 2018 (also accepted by ICRA 2018)
video / bibtex

Using DNN to servo-control the shape and position of deformable objects. We also present a robust occlussion removing algorithm in this paper.

Manipulating Highly Deformable Materials Using a Visual Feedback Dictionary
Biao Jia, Zhe Hu, Jia Pan, Dinesh Manocha
IEEE International Conference on Robotics and Automation (ICRA), 2018
video / bibtex

Using DNN to servo-control the shape and position of deformable objects. We also present a robust occlussion removing algorithm in this paper.

Grasp Quality Evaluation and Planning for Objects with Negative Curvature
Shuo Liu, Zhe Hu, Hao Zhang, Mingu Kwon, Zhikang Wang, Yi Xu, Stefano Carpin
IEEE International Conference on Robotics and Automation (ICRA), 2017
video / bibtex

Using DNN to servo-control the shape and position of deformable objects. We also present a robust occlussion removing algorithm in this paper.