Linkage and candidate gene studies have identified several breast cancer susceptibility
genes, but the overall contribution of coding variation to breast cancer is unclear. To …

In this article, we present a metaheuristic-based control framework, called beetle antennae
olfactory recurrent neural network, for simultaneous tracking control and obstacle avoidance …

We discuss methods to compute the flow of non-Brownian, non-cohesive, and non-spherical
rigid bodies immersed in a single homogeneous fluid. We address both the case of …

The heart of any system that simulates the physical interaction between objects is collision
detection-the ability to detect when two objects have come into contact. This system is also …

Robotic applications are expanding into dynamic, unstructured, and populated
environments. Mechanisms specifically designed to address the challenges arising in these …

This paper presents an implementation of the Gilbert-Johnson-Keerthi algorithm for comput
ing the distance between convex objects, that has improved performance, robustness, and …

Deep learning has enabled remarkable improvements in grasp synthesis for previously
unseen objects from partial object views. However, existing approaches lack the ability to …

We suggest a novel variant of Discrete Element Method (DEM) to simulate the flow dynamics
of granular material made of non-spherical particles. Our approach is limited to particles of …

This article proposes a control algorithm for obstacle avoidance and trajectory tracking for a
redundant‐manipulator in smart‐homes. The redundancy provides dexterity and flexibility …

This paper discusses methods for performing proximity queries (collision detection, distance
computation) and penetration depth computation on a large class of convex objects. The …