Abstract— This paper deals with the optimization of RobotObstacle interaction computations, in the context of nonholonomic trajectory deformation for mobile robots. We first rec...
Olivier Lefebvre, Florent Lamiraux, David Bonnafou...
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
Abstract— Wireless access networks scale by replicating base stations geographically and then allowing mobile clients to seamlessly “hand off” from one station to the next as...
The Distributed Shared Memory (DSM) model is designed to leverage the ease of programming of the shared memory paradigm, while enabling the highperformance by expressing locality ...