BACKGROUND Voluntary motor deficits are a common feature in Huntington's disease (HD), characterised by movement slowing and performance inaccuracies. This deficit may be exacerbated when visual cues are restricted. OBJECTIVE To characterize the upper limb motor profile in HD with various levels of difficulty, with and without visual targets. METHODS Nine premanifest HD (pre-HD), nine early...

Prospection, the act of predicting the consequences of many possible futures, is intrinsic to human planning and action, and may even be at the root of consciousness. Surprisingly, this idea has been explored comparatively little in robotics. In this work, we propose a neural network architecture and associated planning algorithm that (1) learns a representation of the world useful for generati...

Barto, Sutton and Watkins [2] introduced a grid task as a didactic example of temporal difference planning and asynchronous dynamical pre>gramming. This paper considers the effects of changing the coding of the input stimulus, and demonstrates that the self-supervised learning of a particular form of hidden unit representation improves performance.

As robots become more physically robust and capable of sophisticated sensing, navigation, and manipulation, we want them to carry out increasingly complex tasks. A robot that helps in a household must plan over the scale of hours or days, considering abstract features such as the desires of the occupants of the house, as well as detailed geometric models that support locating and manipulating o...

This paper aims to discuss the requirements of safe and smooth trajectory planning of transporter mobile robots to perform non-prehensile object manipulation task. In non-prehensile approach, the robot and the object must keep their grasp-less contact during manipulation task. To this end, dynamic grasp concept is employed for a box manipulation task and corresponding conditions are obtained an...

We present a framework for coordinating autonomous planning agents. Together, these agents have to achieve a set of interdependent (elementary) tasks. Each of the agents receives a unique subset of tasks to achieve, but an agent may be dependent on other agents completing (some of) their tasks first. Each of the agents needs to make a plan in order to achieve its set of subtasks. Task dependenc...

In these demonstrations we show O-Plan, an AI planning agent working over the WWW. There are a number of demonstrations ranging from a simple “single shot” generation of Unix systems administration scripts through to comprehensive use of AI technologies across the whole planning lifecycle in military and civilian crisis situations The applications are derived from actual user requirements and d...

In this paper, we outline the requirements of a planning and decision aid to support US Army small unit operations in urban terrain and show how AI planning technologies can be exploited in that context. The work is a rare example of a comprehensive use of AI technologies across the whole planning lifecycle, set in a realistic application in which the actual user community set the requirements....

We present an integrated Task-Motion Planning (TMP) framework for navigation in large-scale environments. Of late, TMP manipulation has attracted significant interest resulting a proliferation of different approaches. In contrast, received considerably less attention. Autonomous robots operating real-world complex scenarios require planning the discrete (task) space and continuous (motion) spac...