A significant goal of robotics is to develop autonomous machines, capable of independent and collective operation free from human assistance. To operate with complete autonomy robots must be capable of independent movement and total energy self-sufficiency. We present the design of a soft robotic mouth and artificial stomach for aquatic robots that will allow them to feed on biomatter in their ...

Recent developments in the area of smart structures indicate that variable geometry / stiffness truss network is of fundamental importance in designing smart transformable structures and systems for space applications. This paper presents the conceptual design and dynamic modeling of a cooperative re-configurabel dual-arm robotic structure called Dual-Arm Cam-Lock Manipulator. The Manipulator i...

Finding solutions to high dimensional Markov Decision Processes (MDPs) is a difficult prob­ lem, especially in the presence of uncertainty or if the actions and time measurements are contin­ uous. Frequently this difficulty can be alleviated by the availability of problem-specific knowledge. For example, it may be relatively easy to design controllers that are good locally, though having no glo...

The paper describes a mechanism whereby agents generate perceptual distinctions through a series of adaptive discrimination games and share these distinctions through adaptive language games. Results from computer simulations as well as experiments on robotic agents are presented.

The paper describes a mechanism whereby agents generate perceptual distinctions through a series of adaptive discrimination games and share these distinctions through adaptive language games. Results from computer simulations as well as experiments on robotic agents are presented.

In order to create an autonomous robot with the ability to dynamically adapt to a changing environment, many researchers have studied robotic intelligence, especially control systems, based on biological systems such as neural networks (NNs), reinforcement learning (RL), and genetic algorithms (GA) (Harvey et al., 1993, Richard, 1989, and Holland, 1975). In a recent decade, however, it has been...

Diagrammatic models of feeding choices reveal fundamental robotic behaviors. Successful choices are reinforced by positive feedback, while unsuccessful ones by negative feedback. This paper will address robotic feeding by casually relating consequential behavior subtended by a strong dependence upon survival.