Cooperative hunting by distributed mobile robots based on local interaction

This paper proposes a distributed control approach called local interactions with local coordinate systems (LILCS)to multirobot hunting tasks in unknown environments, where a team of mobile robots hunts a target called evader, which will actively try to escape with a safety strategy. This robust approach can cope with accumulative errors of wheels and imperfect communication networks. Computer simulations show the validity of the proposed approach.

Mobile safety

Discusses that when it comes to mobiles for kids, safety should be a parent's first call.

Autonomic system management in mobile grid environments

Mobile device integration in grid environments is a challenge for many researchers. Due to the transient nature of mobile devices, service management is a critical, but often overlooked area of research. We propose a distributed broker responsible for the autonomic management of grid services. The broker provides self discovery and negotiation, self configuration and self healing for SOA based mobile grids. In this paper the design and prototype implementation of the broker is presented and the importance of autonomic grid service management is shown.

Power saving in sensor networks via mobile base station repositioning

This research investigated the effect of dynamically repositioning the geographic location of a mobile base station within a sensor network in order to reduce energy consumption and increase network lifetime. Through simulation and experimental methodology, the proposed approach outperformed existing methods by extending network lifetime whilst reducing energy consumption.

Formation of networked mobile robots

This thesis presents a novel approach for controlling a robotic swarm to generate a geometric pattern described by a given contour, and a suitable communication scheme which enables the robots to communicate with each other as an all-to-all network.

Transaction management in a replicated and mobile environment

Reports the design of three-level transaction processing model which provides efficient transaction management in a replicated and mobile environment. The model uses a promary/non-primary replication control protocol to enable transaction processing with fast user response time at any distributed site including mobile hosts. A Web-based design with an implementation of a prototype application system shows a concrete example of how to adopt the transaction model over distributed databases.

Mobility and vision for mobile robots in non-deterministic, competitive environments

Develops an award winning design for an omnidirectional mobile robot that is both lightweight and extremely maneuverable. Two methods of robot vision, one using rotating lasers and a second using color video cameras were also developed and the merits of both explored.

Tracking multiple mobile agents with single frequency continuous wave radar

In this paper, a novel concept to determine the velocity and the location information of multiple mobile agents using Doppler radar has been introduced. Also, an expression for the minimum number of inline sensors needed to guarantee this estimation for n number of mobile agents has been obtained. Current methods use the time derivative of the displacement of adjacent position measurements to find the velocities of agents. This method is error prone, particularly, if the agents are accelerating. In our approach we incorporate direction-of-arrival (DOA) radar which tracks the location and the velocity of each and every agent in each measurement step.

A robust set-valued state estimation approach to the problem of vision based SLAM for mobile robots

The problem of visual simultaneous localization and mapping (SLAM) is examined in this paper using ideas and algorithms from robust control and estimation theory. Using a stereo-vision based sensor, a nonlinear measurement model is derived which leads to nonlinear measurements of the landmark coordinates along with optical flow based measurements of the relative robot-landmark velocity. Using a novel analytical measurement transformation, the nonlinear SLAM problem is converted into the linear filter is guaranteed stable and the ALAM state estimation error is bounded within an ellipsoidal set. No similar results are available for the commonly employed extended Kalman filter which is known to exhibit divergent and inconsistency characteristics in practice.