We are now focusing on these fields:
Inspired by nature
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
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
Learning intelligence from data
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.
Simulating human senses
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.
Optimize Engineering Structures Automatically
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.