We present a multiple view algorithm for vision based landing of an unmanned aerial vehicle. Our algorithm is based on our recent results in multiple view geometry which exploit t...
We present the design and implementation of a realtime, vision-based landing algorithm for an autonomous helicopter. The helicopter is required to navigate from an initial positio...
Srikanth Saripalli, James F. Montgomery, Gaurav S....
We report on the design and analysis of a controller which can achieve dynamical self-righting of our hexapedal robot, RHex. We present an empirically developed control procedure ...
Numerous upcoming NASA misions need to land safely and precisely on planetary bodies. Accurate and robust state estimation during the descent phase is necessary. Towards this end,...
Stergios I. Roumeliotis, Andrew Edie Johnson, Jame...
This paper introduces a generalized framework, termed “stochastic cloning,” for processing relative state measurements within a Kalman filter estimator. The main motivation a...
We present a self-valuing learning technique which is capable of learning how to grasp unfamiliar objects and generalize the learned abilities. The learning system consists of two...
Abstract—Measures of dynamic manipulability summarize a manipulator’s capacity to generate accelerations for arbitrary tasks, and such measures are useful tools for the design ...