3 accepted papers
To effectively operate in human-centered environments, robots must possess the capability to rapidly adapt to novel and changing situations. Techniques such as Learning from Demonstration enable fast learning without the need for explicit coding. However, in certain cases they exhibit limitations in…
The ability to search for objects is a precondition for various robotic tasks. In this paper, we address the problem of finding objects in partially known indoor environments. Using the knowledge of the floor plan and the mapped objects, we consider object-object and object-room co-occurrences as pr…
Robots require a detailed understanding of the 3D structure of the environment for autonomous navigation and path planning. A popular approach is to represent the environment using metric, dense 3D maps such as 3D occupancy grids. However, in large environments the computational power required for m…