— We study a simple algorithm inspired by the Brazil nut effect for achieving segregation in a swarm of mobile robots. The algorithm lets each robot mimic a particle of a certain...
— A series of kinodynamic sampling-based planners have appeared over the last decade to deal with high dimensional problems for robots with realistic motion constraints. Yet, ofï...
— We present the motion planning framework for an autonomous vehicle navigating through urban environments. Such environments present a number of motion planning challenges, incl...
The ability to locate objects in a real-time video and relate them to virtual objects in a database is important in a number of applications including visually-guided robotic navi...
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...