Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Recovering 3D geometry from a single view of an object is an important and challenging problem in computer vision. Previous methods mainly focus on one specific class of objects ...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
— For certain applications, field robotic systems require small size for cost, weight, access, stealth or other reasons. Small size results in constraints on critical resources s...
In this paper, a nonlinear controller design for an omni-directional mobile robot is presented. The robot controller consists of an outer-loop (kinematics) controller and an inner...
Yong Liu, J. Jim Zhu, Robert L. Williams II, Jianh...