Clara Gomez — accepted AI-conference papers

2020

Efficient Object Search Through Probability-Based Viewpoint Selection

Alejandra C. Hernandez, Erik Derner, Clara Gomez, Ramon Barber, Robert Babuška

IROS 2020poster

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…

Cited by 13 Source ↗Scholar ↗

2020

Hybrid Topological and 3D Dense Mapping through Autonomous Exploration for Large Indoor Environments

Clara Gomez, Marius Fehr, Alex Millane, Alejandra C. Hernandez, Juan Nieto, Ramon Barber +1

ICRA 2020poster

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…

Cited by 48 Source ↗Scholar ↗