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Abstract-We describe an autonomous robotic system capable of navigating through an office environment, opening doors along the way, and plugging itself into electrical outlets to recharge as needed. We demonstrate through extensive experimentation that our robot executes these tasks reliably, without requiring any modification to the environment. We present robust detection algorithms for doors, door handles, and electrical plugs and sockets, combining vision and laser sensors. We show how to overcome the unavoidable shortcoming of perception by integrating compliant control into manipulation motions. We present a visual-differencing approach to highprecision plug-insertion that avoids the need for high-precision hand-eye calibration.

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When developing path tracking controllers for autonomous vehicles the dynamic constraints of the vehicle are a critical factor. It is therefore necessary to ensure that all tracking trajectories produced by the controller are smooth and continuous. In this paper, a path tracking controller is proposed and implemented on an experimental autonomous vehicle. This tracking method decouples the low-level heading and steering control of the vehicle from the main tracking controller, therefore requiring less vehicle characterization. The results of this paper will show this method yields a RMS 0.25m cross-track error with little to no vehicle characterization.

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