Search results for "Autonomous robot"
showing 10 items of 15 documents
An ASSOM neural network to represent actions performed by an autonomous agent
1997
An ASSOM neural network to describe the action performed by an autonomous reactive agent is proposed. The neural network receives in input the sequences of data acquired by the agent internal sensors and it classifies them by generating the corresponding symbolic assertions. Experimental results performed on a RWI B12 autonomous robot are reported.
Modeling the insect mushroom bodies: application to a delayed match-to-sample task.
2013
Despite their small brains, insects show advanced capabilities in learning and task solving. Flies, honeybees and ants are becoming a reference point in neuroscience and a main source of inspiration for autonomous robot design issues and control algorithms. In particular, honeybees demonstrate to be able to autonomously abstract complex associations and apply them in tasks involving different sensory modalities within the insect brain. Mushroom Bodies (MBs) are worthy of primary attention for understanding memory and learning functions in insects. In fact, even if their main role regards olfactory conditioning, they are involved in many behavioral achievements and learning capabilities, as …
Towards a conceptual representation of actions
2000
An autonomous robot involved in missions should be able to generate, update and process its own actions. It is not plausible that the meaning of the actionsus ed by the robot isgiv en form the outside of the system itself. Rather, this meaning should be anchored to the world through the perceptual abilitiesof the robot. We present an approach to conceptual action representation based on a "conceptual" level that actsasan intermediate level between symbolsand data coming form sensors. Symbolic representations are interpreted by mapping them on the conceptual level through a mapping mechanism based on artificial neural networks.
Conceptual representations of actions for autonomous robots
2001
An autonomous robot involved in long and complex missions should be able to generate, update and process its own plans of action. In this perspective, it is not plausible that the meaning of the representations used by the robot is given from outside the system itself. Rather, the meaning of internal symbols must be firmly anchored to the world through the perceptual abilities and the overall activities of the robot. According to these premises, in this paper we present an approach to action representation that is based on a "conceptual" level of representation, acting as an intermediate level between symbols and data coming from sensors. Symbolic representations are interpreted by mapping …
Synthesizing on a reconfigurable chip an autonomous robot image processing system
2003
This paper deals with the implementation, in a high density reconfigurable device, of an entire log-polar image processing system. The log-polar vision reduces the amount of data to be stored and processed, simplifying several vision algorithms and making it possible the implementation of a complete processing system on a single chip. This image processing system is specially appropriated for autonomous robotic navigation, since these platforms have typically power consumption, size and weight restrictions. Furthermore, the image processing algorithms involved are time consuming and many times they have also real-time restrictions. A reconfigurable approach on a single chip combines hardwar…
CiceRobot: a cognitive robot for interactive museum tours
2007
PurposeThe aim of this paper is to integrate perception, action and symbolic knowledge to allow an autonomous robot to operate in unstructured environments and to interact with non‐expert users.Design/methodology/approachTo achieve such goals, a cognitive robot architecture is proposed based on the integration between subsymbolic and linguistic computations through the introduction of an intermediate level of representation based on conceptual spaces.FindingsThe architecture has been tested in the CiceRobot project on tasks related to guided tours in the Archaeological Museum of Agrigento. Experimental results show that robot cognitive behaviors allow one to achieve a full functional roboti…
A distributed architecture for autonomous navigation of robots
2002
The paper shows a distributed architecture for autonomous robot navigation. The architecture is based on three modules that are implemented on separate and interacting agents: the target recognizer, the obsta90cle evaluator and the planner. An adaptive genetic algorithm has been studied to identify mechanisms for reaching the target and for manipulating the 2-directions of the robot; the distributed architecture has been embedded in the DAISY (Distributed Architecture for Intelligent System). Experiments have been carried out using a LEGO intelligent brick.
Research Toward The Optical Equipment For An Autonomous Robot For TviV Environment
1989
The paper consists of three major parts: basic technical problems in very high power/megavolt environment, signal processing and mechanical equipment for this environment, construction of a sensor equipped robot for this environment. The first part contains mainly metrological confinements and reliability considerations for the optical, optoelectronic and electronic part of a system. The second part contains mechanics and robotics problems. The result of these two parts is a choice of a system to be realized.
A Planning and Control System for Self-Driving Racing Vehicles
2018
Autonomous robots will soon enter our everyday life as self-driving cars. These vehicles are designed to behave according to certain sets of cooperative rules, such as traffic ones, and to respond to events that might be unpredictable in their occurrence but predictable in their nature, such as a pedestrian suddenly crossing a street, or another car losing control. As civilian autonomous cars will cross the road, racing autonomous cars are under development, which will require superior Artificial Intelligence Drivers to perform in structured but uncertain conditions. We describe some preliminary results obtained during the development of a planning and control system as key elements of an A…
Experiments on Concurrent Artificial Environment
2001
We show how the simulation of concurrent system is of interest for both behavioral studies and strategies of learning applied on prey-predator problems. In our case learning studies into unknown environment have been applied to mobile units by using genetic algorithms (GA). A set of trajectories, generated by GA, are able to build a description of the external scene driving a predators to a prey. Here, an example of prey-predator strategy,based on field of forces, is proposed. The evolution of the corespondent system can be formalized as an optimization problem and, for that purpose, GA can be use to give the right solution at this problem. This approach could be applied to the autonomous r…