Real-time modification of collision-free paths
Real-time modification of collision-free paths
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Shared Features for Scalable Appearance-Based Object Recognition
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
1000 trials: an empirically validated end effector that robustly grasps objects from the floor
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
ROVIS: robust machine vision for service robotic system FRIEND
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Discovery, localization and recognition of smart objects by a mobile robot
SIMPAR'10 Proceedings of the Second international conference on Simulation, modeling, and programming for autonomous robots
Integrating task planning and interactive learning for robots to work in human environments
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Hi-index | 0.00 |
In order for humanoid robots to enter human-centred environments, it is indispensable to equip them with manipulative, perceptive and communicative skills necessary for real-time interaction with the environment and humans. The goal of our work is to provide reliable and highly integrated humanoid platforms which on the one hand allow the implementation and tests of various research activities and on the other hand the realization of service tasks in a household scenario. In this paper, we present a new humanoid robot currently being developed for applications in human-centred environments. In addition, we present an integrated grasping and manipulation system consisting of a motion planner for the generation of collision-free paths and a vision system for the recognition and localization of a subset of household objects as well as a grasp analysis component which provides the most feasible grasp configurations for each object.