PROVIDENCE, R.I. [Brown University] — Whether in the kitchen or on a workshop floor, robot assistants that can fetch items for people could be extremely useful. Now, a team of Brown University ...

Summary: For humans, “fetch” is a simple game, but for robots, locating a specific object in a cluttered room is a computational nightmare. Researchers have found a surprising solution by looking at ...

Large Language Models (LLMs) have come a long way in their ability to solve a wide range of problems. Yet, LLM decision-making still relies primarily on pattern recognition, which may limit its ...

In intelligent systems, applications range from autonomous robotics to predictive maintenance problems. To control these systems, the essential aspects are captured with a model. When we design ...

ABSTRACT: The response and performance of radiation detectors for accurate measurements and effective use for radiological safety in medical, industrial, and nuclear sectors are based on the optimal ...

Abstract: Online planning for partially observable Markov decision processes (POMDPs) provides efficient techniques for robot decision-making under uncertainty. However, existing methods fall short of ...

Abstract: Autonomous cyberphysical systems hold the promise to positively transform many tasks, for example transportation, collecting scientific data in hazardous environments, and monitoring objects ...

Abstract: With rapidly growing penetration of renewable energy, there is an increasing need for real-time balance in the power system. In recent years, as a vital component of the end user side, ...

This is a POMDP solver that implements a number of different algorithms. Most of these are variations of exact solutions, though there is also support for aproximate finite grid solving. More ...

Department of Industrial and Systems Engineering, Hosei University, Tokyo, Japan. With recent advances in science and technology, many systems have become more complex and more massive. Accordingly, ...