—Considering the interaction through mutual interference of the different radio devices, the channel selection (CS) problem in decentralized parallel multiple access channels can...
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
Ana C. Tenorio-Gonzalez, Eduardo F. Morales, Luis ...
— In this paper we present a new system for a mobile robot to generate an articulated scene model by analyzing complex dynamic 3D scenes. The system extracts essential knowledge ...
Agnes Swadzba, Niklas Beuter, Sven Wachsmuth, Fran...
Particle systems have been incorporated into a wide variety of applications in both academia and industry. They can be employed to investigate complex natural phenomena, illustrat...
Recently, many researchers have worked on tabletop systems. One issue with tabletop interfaces is how to control the table without using conventional desktop input devices such as ...