Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Armin Hornung"'
Publikováno v:
Autonomous Robots. 29:137-149
In this article, we present a novel approach to learning efficient navigation policies for mobile robots that use visual features for localization. As fast movements of a mobile robot typically introduce inherent motion blur in the acquired images, t
Autor:
Armin Hornung, Sebastian Böttcher, Jonas Schlagenhauf, Christian Dornhege, Andreas Hertle, Maren Bennewitz
Publikováno v:
Humanoids
To autonomously carry out complex mobile manipulation tasks, a robot control system has to integrate several components for perception, world modeling, action planning and replanning, navigation, and manipulation. In this paper, we present a modular
Autor:
Armin Hornung
Publikováno v:
ROSCon Stutgart 2013.
Publikováno v:
ICRA
Humanoid service robots performing complex object manipulation tasks need to plan whole-body motions that satisfy a variety of constraints: The robot must keep its balance, self-collisions and collisions with obstacles in the environment must be avoi
Publikováno v:
Autonomous Robots
Three-dimensional models provide a volumetric representation of space which is important for a variety of robotic applications including flying robots and robots that are equipped with manipulators. In this paper, we present an open-source framework
Publikováno v:
Humanoids
In this paper, we present an integrated approach for robot localization, obstacle mapping, and path planning in 3D environments based on data of an onboard consumer-level depth camera. We rely on state-of-the-art techniques for environment modeling a
Publikováno v:
Humanoids
Efficient footstep planning for humanoid navigation through cluttered environments is still a challenging problem. Many obstacles create local minima in the search space, forcing heuristic planners such as A* to expand large areas. The goal of this w
Publikováno v:
IROS
In order to successfully climb challenging stair-cases that consist of many steps and contain difficult parts, humanoid robots need to accurately determine their pose. In this paper, we present an approach that fuses the robot's observations from a 2
Publikováno v:
IROS
In this work, we present methods that enable a humanoid robot to traverse ramps using only vision and inertial data for sensing. Our video illustrates the method and shows the results obtained with a Nao humanoid. Using the proposed approach, the rob
Autor:
Armin Hornung
Publikováno v:
ROSCon Minneapolis 2012.