IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
— In this paper, we show that visual feedback reduces the complexity of parallel robot Cartesian control. Namely, 3D pose visual servoing, where the end-effector pose is indirect...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
— In this paper we address smooth and collision-free whole-body motion planning for humanoid robots. A two-stage iterative planning framework is introduced where geometric motion...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract— We propose a new vision-based SLAM (Simultaneous Localization and Mapping) technique using both line and corner features as landmarks in the scene. The proposed SLAM al...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
— Autonomous service robots have to recognize and interpret their environment to be able to interact with it. This paper will focus on service tasks such as serving a glass of wa...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
— The presence of humans should be explicitly taken into account in all steps of robot’s design and particularly for robot motion. The robot should reason about human partner...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
— Human interaction with a service robot requires a shared representation of the environment for spoken dialogue and task specification where names used for particular locations...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
– This paper describes a fusion of panoramic vision and laser range data to track multiple persons simultaneously from a stationary robot. Particle filters are used to track peop...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
— Mobile robots operating in populated environments typically can improve their service and navigation behavior when they know where people are in their vicinity and in which dir...