Activity planning for missions such as the Mars Exploration Rover mission presents many technical challenges, including oversubscription, consideration of time, concurrency, resources, preferences, and uncertainty. These challenges have all been addressed by the research community to varying degrees, but significant technical hurdles still remain. In addition, the integration of these capabilit...

Genetic programming (GP) is an automatic programming technique that has recently been applied to a wide range of problems including blocks-world planning. This paper describes a series of illustrative experiments in which GP techniques are applied to traditional blocks-world planning problems. We discuss genetic planning in the context of traditional AI planning systems, and comment on the cost...

OBJECTIVE In Nigeria, fertility continues to be high and contraceptive prevalence remains low. This study was conducted in order to understand the perceptions of, experiences with and challenges of delivering family planning services in two urban areas of Nigeria from the perspectives of family planning service providers. METHODS A qualitative study using 59 in-depth interviews was conducted ...

Genetic programming (GP) is an automatic programming technique that has recently been applied to a wide range of problems including blocks-world planning. This paper describes a series of illustrative experiments in which GP techniques are applied to traditional blocks-world planning problems. We discuss genetic planning in the context of traditional AI planning systems, and comment on the cost...

Our work is intended to model and solve artificial planning problems with logic based planning, using the novel semantics called p-stable, which is an alternative of stable semantics. Also we present a method to encode a general planning problem and then we present an example, which is the blocks world problem. This can be applied in a variety of tasks including robotics, process planning, upda...

Planning of everyday tasks was examined in 48 inpatients with schizophrenia and 26 healthy controls. Participants were administered the Naturalistic Action Test, which requires completion of three everyday tasks (e.g., make toast and coffee). Planning variables, including planning behaviours (e.g., gathering items before engaging in a subtask) and planning time (e.g., period between task instru...

This paper presents some of the recent improvements in sampling-based robot motion planning. Emphasis is placed on work that brings motion-planning algorithms closer to applicability in real environments. Methods that approach increasingly difficult motion planning problems including kinodynamic motion planning and dynamic environments are discussed. The ultimate goal for such methods is to gen...