Motion planning for mobile robots considering occluded obstacles is a navigation challenge in dynamic environments.If an obstacle suddenly appears from the occluded area, a robot might collide with the obstacle.This is the occlusion problem.Therefore, this paper proposes a novel motion planner, Velocity Obstacle for Occlusion, Carb Caps VOO.The VOO
Probabilistic Community Detection in Social Networks
The detection of community structures is a very crucial research area.The problem of community detection has received considerable attention from a large portion of the scientific community.More importantly, these articles are spread across a large number of different disciplines, from computer science, to statistics, and social sciences.The analys
CONSORT-DEFINE explanation and elaboration: recommendations for enhancing reporting quality and impact of early phase dose-finding clinical trialsResearch in context
Summary: Early phase dose-finding (EPDF) trials are key in the development of Philips HID Chokes novel therapies, with their findings directly informing subsequent clinical development phases and providing valuable insights for reverse translation.Comprehensive and transparent reporting of these studies is critical for their accurate and critical i
State feedback based on grey wolf optimizer controller for two-wheeled self-balancing robot
The two-wheeled self-balancing robot (TWSBR) Petit is based on the axletree and inverted pendulum.Its balancing problem requires a control action.To speed up the response of the robot and minimize the steady state error, in this article, a grey wolf optimizer (GWO) method is proposed for TWSBR control based on state space feedback control technique