New reactive behaviors that implement formations in multirobot teams are presented and evaluated. The formation behaviors are integrated with other navigational behaviors to enable a robotic team to reach navigational goals, avoid hazards and simultaneously remain in formation. The behaviors are implemented in simulation, on robots in the laboratory and aboard DARPA’s HMMWV-based Unmanned Groun...

| New reactive behaviors that implement formations in multi-robot teams are presented and evaluated. The formation behaviors are integrated with other navi-gational behaviors to enable a robotic team to reach nav-igational goals, avoid hazards and simultaneously remain in formation. The behaviors are implemented in simulation , on robots in the laboratory and aboard DARPA's HMMWV-based Unmanned...

Designing general-purpose AI systems that are capable of modeling interesting behaviors is a challenging task. On the one hand, we would like our AI system to be general enough to provide a game designer the ability to specify the subtle nuances that make a character interesting. On the other hand we would like the system to be easy to use and powerful enough that relatively simple behaviors ca...

In this paper, we review the literature on efficient task scheduling on multi-core system. The number of cores on one chip are increasing very rapidly. For achieving high performance without more power consumption and without heating up the system, multi-core processing technology is used. In addition for fully utilization of system resources in more efficient way task scheduler are developed, ...

Training robot or agent behaviors by example is an attractive alternative to directly coding them. However training complex behaviors can be challenging, particularly when it involves interactive behaviors involving multiple agents. We present a novel hierarchical learning from demonstration system which can be used to train both single-agent and scalable cooperative multiagent behaviors. The m...

Decision Making: Designing general-purpose AI systems that are capable of modeling interesting behaviors is a challenging task. On the one hand, we would like our AI system to be general enough to provide a game designer the ability to specify the subtle nuances that make a character interesting. On the other hand we would like the system to be easy to use and powerful enough that relatively si...

objectives: the present study aimsed to examine the reliability of forceplate parameters under both single and dual task conditions and in different levels of postural difficulty. methods & materials: the healthy elderly+65, were assessed with aone-week interval, with a random combination of three levels of postural difficulty (i.e., standing on a rigid surface with eyes open, standing on a rig...

The Community Preventive Services Task Force recommends person-to-person interventions intended to modify adolescents' risk and protective behaviors by improving their caregivers' parenting skills, on the basis of sufficient evidence of effectiveness in reducing adolescent risk behaviors. These interventions, conducted face-to-face or by telephone, occur outside of clinical settings.

We present a representation that addresses two current limitations of the behavior-based systems (BBS) (Matarić 1992), (Arkin 1998): the lack of abstract representation within behaviors (which makes them hard to use in complex, sequential problems) and the need for behavior redesign even for tasks that use subsets of the same behavior set. We introduce the concept of behavior networks, based on...

This paper presents a multiagent framework designed to animate groups of synthetic humans that properly balance task oriented and social behaviors. The work presented in this paper focuses on the BDI agents and the social model integrated to provide socially acceptable decisions. The social model provides rationality, to control the global coordination of the group, and sociability, to simulate...