Sciweavers

Share
IROS
2006
IEEE

Team-Driven Multi-Model Motion Tracking with Communication

9 years 6 months ago
Team-Driven Multi-Model Motion Tracking with Communication
— Interactions are frequently seen between the robot and the targets being tracked within the robotics community. Modeling the interactions using knowledge of robot cognition improves the performance of the tracker. Communication improves the performance of a multi-agent system. The focus of this paper is to present our solution to integrate the communication information into our team-driven multi-model motion tracking. We present the probabilistic tracking algorithm in detail and present empirical results both in simulation and in a Segway soccer team. The information from team communication allows the robot to much more effectively track mobile targets.
Yang Gu, Manuela M. Veloso
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where IROS
Authors Yang Gu, Manuela M. Veloso
Comments (0)
books