Polymorphic, or shape-shifting, robots can normally tackle more types of tasks than non-polymorphic robots due to their flexible morphology. Their versatility adds to the challeng...
Jill L. Drury, Holly A. Yanco, Whitney Howell, Bri...
There has been much research investigating team cognition, naturalistic decision making, and collaborative technology as it relates to real world, complex domains of practice. How...
Xiaocong Fan, Shuang Sun, Michael D. McNeese, John...
It is a common practice to model an object for detection tasks as a boosted ensemble of many models built on features of the object. In this context, features are defined as subre...
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinke...
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...