Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...

Abstract: This paper proposes a path planning algorithm using the hybridization of the rapidly-exploring random tree (RRT) and ant colony system (ACS) algorithms. The RRT algorithm can quickly ...

Teaching robots to manipulate objects with humanlike dexterity has long been one of robotics' toughest challenges. Tasks such as rotating an object in-hand or coordinating two robot arms to maneuver a ...

Abstract: Rapidly-exploring random tree star (RRT*) has attracted intensive attention in track planning due to its asymptotic optimal properties. However, the RRT* algorithm plans costly trajectory ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...

With the rapid development of artificial intelligence, computer vision, and sensor technologies, robotics have witnessed remarkable progress over the years. However, a significant challenge modern ...

Imagine you visit a maze with some friends. You emerge from the exit shortly after going in, and wait around for hours before your friends emerge. Naturally, they ask about the path you took — surely ...

Learn about an important method for valuing derivatives and other assets Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Timothy ...