IROS 95 8/8 parallelism is simulated, the scheduler is the key to these properties. The experiments showed that markers improve a behavior-based system. The most important improvement is the set of new coordination methods. In addition to coordination capability, markers simplify the rest of the control system. First, markers simplify behaviors, as behaviors need not to update task related data...

In [1], we have presented the soccer robot which had learned to shoot a ball into the goal using the Q-learning. In this paper, we discuss several issues in applying the Qlearning method to a real robot with vision sensor. First, to speed up the learning rate, we implement a mechanism of Learning form Easy Missions (or LEM) which is a similar technique to \shaping" in animal learning. LEM reduc...

Control in behavior-based systems is distributed among a set of specialized behaviors. To achieve eecient implementation, behaviors exploit speciic assumptions about a given task and environment. Thus they become vulnerable to deviations that render these assumption invalid. Yet it is important to provide appropriate responses to unforeseen situations. We demonstrate that, using voting techniqu...

In this paper we present a reeex-type behaviour for visual obstacle detection for mobile robots. The main assumption that is made, is that the robot is moving on a ground plane. For the speciic purpose of obstacle detection, it is then possible to design a simpliied vision system that can successfully solve the problem in hand. Under this purposive approach, there is no need to perform any reco...

BACKGROUND A ubiquitous issue in research is that of selecting a representative sample from the study population. While random sampling strategies are the gold standard, in practice, random sampling of participants is not always feasible nor necessarily the optimal choice. In our case, a selection must be made of 12 hospitals (out of 89 Dutch hospitals in total). With this selection of 12 hospi...

We propose a multi-agent vision-based architecture to solve complex sensor-based planning tasks. A test bed implementation, with skills such as vision and collision avoidance, was used to run experiments in the proposed architecture. We demonstrate experimentally how the system can execute successfully complex assembly plans while dealing with unpredictable events and imprecise information, wit...

We propose a hierarchical multi-module leaning system based on self-interpretation of instructions given by a coach. The proposed method enables a robot (i) to decompose a long term task that needs various kinds of information into a sequence of short term subtasks that need much less information through its self-interpretation process for the instructions given by the coach, (ii) to select sen...

Objectives: To examine how policy tools can be used to improve the environmental performance of SMEs and to redirect entrepreneurial energies towards environmentally-sustainable goals. Prior Work: A review of relevant policy literature and data on environmental performance and impacts is used to establish the importance of SMEs and entrepreneurial actors in relation to environmental sustainabil...

In addition to their well-known role in skeletal movements, the basal ganglia control saccadic eye movements (saccades) by means of their connection to the superior colliculus (SC). The SC receives convergent inputs from cerebral cortical areas and the basal ganglia. To make a saccade to an object purposefully, appropriate signals must be selected out of the cortical inputs, in which the basal ...

It is becoming increasingly clear that the robustness demonstrated by biological vision systems is in large part due to their ability to actively integrate (fuse) 1 information from a number of similar or diiering visual cues 34, 2]. In addition to active integration, the perception{action nature of biological systems relies upon the ability to eeectively compose behaviors in an event driven ma...