Sensor-Based Navigation for Mobile Robots Using Target Direction Sensor.

Sensor-Based Navigation Coordination for Mobile Robots

In this paper, the problem of navigation coordination is studied. New results are given for robustly integrating behavior based control systems. In the studied problem formulation, one behavior (path following) is a priori planned, the other (obstacle avoidance) is reactive. The methods are based on the virtual vehicle approach and a regularized automaton.

A New Approach to Self-Localization for Mobile Robots Using Sensor Data Fusion

This paper proposes a new approach for calibration of dead reckoning process. Using the well-known UMBmark (University of Michigan Benchmark) is not sufficient for a desirable calibration of dead reckoning. Besides, existing calibration methods usually require explicit measurement of actual motion of the robot. Some recent methods use the smart encoder trailer or long range finder sensors such ...

Sensor replacement using mobile robots

Sensor replacement is important for sensor networks to provide continuous sensing services. Upon sensor node failures, holes (uncovered areas) may appear in the sensing coverage. Existing approaches relocate redundant nodes to fill the holes and require all or most sensor nodes to have mobility. However, mobility equipment is expensive while technology trends are scaling sensors to be smaller a...

Model-based Pedestrian Trajectory Prediction using Environmental Sensor for Mobile Robots Navigation

Safety is the most important to the mobile robots that coexist with human. There are many studies that investigate obstacle detection and collision avoidance by predicting obstacles’ trajectories several seconds into the future using mounted sensors such as cameras and laser range finder (LRF) for the safe behavior control of robots. In environments such as crossing roads where blind areas occu...

Sensor-based motion control for mobile robots