I am now a final-year PhD candidate in Centre for Robotics Research, King's College London,  London. I work on transparent object perception and manipulation with visual and tactile sensing, under the supervision of Dr. Shan Luo and Prof. Toktam Mahmoodi from King's College London and Dr. Thanh-Toan Do from Monash University. This work aims to build an autonomous robotic system with the ability to manipulate transparent objects for different robotic applications, such as laboratory automation, assistive robots, and waste recycling.   My research interests are broadly in robotics and tactile sensing, such as robot vision, manipulation and sensor manufacturing. 

Before coming to King's College London, I got my bachelor's degree and master's degree from Beijing Institute of Technology under the supervision of Prof. Jianan Wang in 2016 and 2019, respectively.  

Survey Article:

Robotic Perception of Transparent Objects: A Review

J. Jiang, G. Cao, J. Deng, T.-T. Do, S. Luo, (IEEE Transactions on Artificial Intelligence 2023)

[Paper][Website]

Visual-Tactile Grasping of Transparent Object: 

Where shall I touch? Vision-Guided Tactile Poking for Transparent Object Grasping

J. Jiang, G. Cao, A. Butterworth, T.-T. Do, S. Luo. IEEE/ASME Transactions on Mechatronics 2022.

[Paper][Website]

Visual Perception for Transparent Object Grasping:

A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation

J. Jiang, G. Cao, T.-T. Do, S. Luo. IEEE Robotics and Automation Letters & IEEE 18th International Conference on Automation Science and Engineering (CASE) 2022 - Best Student Paper Award Finalist.

[Paper][Website]

Vision-based Cooperative Tracking of A Moving Target with Multiple UAVs  (Master Thesis)

(Part of the Code)

Guidance of connecting multiple Bebop Drones. 

Contribution: When one drone leaves the formation,  other drones will adjust their position to cover the regions at a minimal cost of energy. 

Vision-based UAV Autonomous Landing:   

Y. Qi, J. Jiang, J. Wu, J. Wang, C. Wang, J. Shan, Autonomous landing solution of low-cost quadrotor on a moving platfor, Robotics and Autonomous Systems, 2019, 119: 64-76. 

J. Jiang, Y. Qi, M. Ibrahim, J. Wang, C. Wang, &  J. Shan. Quadrotors' Low-cost Vision-based Autonomous Landing Architecture on a Moving Platform. In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) (pp. 448-453). IEEE. 

[Paper][Code is integrated in Prometheus Project]

Drone Detection and Pose Estimation:

R. Jin, J. Jiang, Y. Qi, D. Lin, & T. Song. Drone detection and pose estimation using relational graph networks. Sensors, 2019.  

Contribution: The first work that uses keypoints to estimate the drone's 6D pose. 

[Paper]

Haptic Rendering: 

G. Cao, J. Jiang, N. Mao, D. Bollegala, M. Li, S. Luo. Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation. IEEE International Conference on Robotics and Automation (ICRA), 2023 . [Paper]

Tactile Classification: 

G. Cao, J. Jiang, D. Bollegala, S. Luo.. Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 . [Paper]

Crack Detection: 

J. Jiang, G. Cao, D. Gomes, S. Luo. Vision-Guided Active Tactile Perception for Crack Detection and Reconstruction. IEEE 29th Mediterranean Conference on Control and Automation (MED), 2021. [Paper]