(Robotics) Design of A Compact Multi-Modal Vision-based Tactile Thumb with Dexterous Origami Joints (In progress)
Overview of the system Design, the manufacturing of Optical Waveguides refers to zhao, 2016: 
Low-level Control, Electrical Design, and the obtained Tactile Images(with Optical waveguides integrated): 
Artificial Intelligence: I am now implementing the Encoder-Decoder Generative Model to handle the obtained tactile images.
Remarks: I am also exploring using origami-based hollow structures as an alternative to conventional robotic finger joints, enabling enhanced dexterity of the finger.
(Modeling and Optimization) Theoretical Model Construction of Deformation-Force for Soft Grippers Part I: Co-rotational Modeling and Force Control for Design Optimization & Part II: Displacement Control Based Intrinsic Force Sensing
Submitted to IEEE Robotics and Automation Letters, 2023, Revision and resubmit [paperI], [paperII],
Keywords: Bidirectional modeling, Optimal design, Intrinsic Force sensing, Robotic grasp, Grasp performance
(Neural Engineering) BGCN: An EEG-based Graphical Classification Method for Parkinson’s Disease Diagnosis with Heuristic Functional Connectivity Speculation
Published in 11th International IEEE/EMBS Conference on Neural Engineering (NER), 2023 [paper]
Keywords: Parkinson’s Disease Diagnosis, EEG, Heuristic Modelling, Functional Connectivity, Graph Neural Networks
Comments: Individual research out of interest and self-sponsored:). Corresponding author of the paper.
(Robotics) GTac-Gripper V2 with Epicyclic Joints and Reconfigurability-Based Tactile Features Argumentation
Submitted to IEEE International Conference on Robotics and Automation(ICRA), 2023, Rejected
Keywords: Multifingered Hands, Tactile Sensing, Reconfigurable Gripper, Grasping Evaluation, Robotic Manipulation.
Comments: This gripper was designed to improve the drawbacks of first prototype, where thin objects cannot be handled or even manipulated. Meanwhile, efforts were made to explore the utilization of Graph-based Neural Networks to deal with arbitrarily structured data, such as time-varying gripper configurations.
(Robotics) GTac-Gripper: A Reconfigurable Under-Actuated Four-fingered Robotic Gripper with Tactile Sensing
Published in IEEE Robotics and Automation Letters, July 2022 [paper]
Keywords: Multifingered Hands, Tactile Sensing, Reconfigurable Gripper, Grasping Evaluation, Robotic Manipulation.
Acknowledgment: This project is supervised by Prof. Haoyong Yu in Biorobotics Lab @NUS, supported by Agency for Science, Technology and Research, Singapore. 