5 accepted papers
This paper is focused on safe mapless navigation of mobile robots in unknown and possibly complex environments containing both internal and dynamic obstacles. We present a novel modular approach that combines the strengths of artificial potential functions (APF) with deep reinforcement learning. Dif…
In this paper, we consider the generation of generic object candidates by a mobile robot that is endowed with a pan-tilt monocular camera. This is an important problem because these candidates serve as basis for the robot to categorize and/or recognize the objects in its surroundings. The previously…
In this paper, we are concerned with the automation of single robot exogeneous assembly in simple planar settings. Here, a set of of unactuated disk-shaped parts needs to be serviced by a single robot that resides outside the workspace and is capable of moving the parts one at a time through sliding…
This paper considers the merging of appearance-based spatial knowledge among robots having compatible visual sensing. Each robot is assumed to retain its knowledge in its individual long-term spatial memory where i) the place knowledge and their spatial relations are retained in an organized manner…
In this work, we consider long-term topological place learning and present an approach that enables the robot to learn in an unsupervised, organized and incremental manner. The knowledge associated with the previously visited places is internally stored in the form of bubble descriptor semantic tree…