Title :
Visually-Guided Grasping while Walking on a Humanoid Robot
Author :
Mansard, Nicolas ; Stasse, Olivier ; Chaumette, François ; YOKOI, Kazuhito
Author_Institution :
IRISA-INRIA, Rennes
Abstract :
In this paper, we apply a general framework for building complex whole-body control for highly redundant robot, and we propose to implement it for visually-guided grasping while walking on a humanoid robot. The key idea is to divide the control into several sensor-based control tasks that are simultaneously executed by a general structure called stack of tasks. This structure enables a very simple access for task sequencing, and can be used for task-level control. This framework was applied for a visual servoing task. The robot walks along a planned path, keeping the specified object in the middle of its field of view and finally, when it is close enough, the robot grasps the object while walking.
Keywords :
grippers; humanoid robots; legged locomotion; manipulators; robot vision; visual servoing; humanoid robot walking; object grasping; redundant robot; sensor-based control; task sequencing; task-level control; visual servoing; visually-guided grasping; whole-body control; Convergence; Feedback; Foot; Humanoid robots; Legged locomotion; Motion control; Robot control; Robot sensing systems; Robotics and automation; Visual servoing;
Conference_Titel :
Robotics and Automation, 2007 IEEE International Conference on
Conference_Location :
Roma
Print_ISBN :
1-4244-0601-3
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2007.363934