Humans possess an extraordinary ability to create and utilize tools. With the advent of
foundation models, artificial intelligence systems have the potential to be equally adept in …

One of the ambitions of Science Robotics is to deeply root robotics research in science while
develo** novel robotic platforms that will enable new scientific discoveries. Of our 10 …

Much research in artificial intelligence is concerned with the development of autonomous
agents that can interact effectively with other agents. An important aspect of such agents is …

We consider the multi-agent reinforcement learning setting with imperfect information. The
reward function depends on the hidden goals of both agents, so the agents must infer the …

Solar cells based on organic–inorganic hybrid perovskite materials have emerged as the
most efficient next-generation thin-film solar cells within just a decade of research and show …

Flying Ad-hoc Network (FANET) is a decentralized communication system solely formed by
Unmanned Aerial Vehicles (UAVs). In FANET, the UAV clients are vulnerable to various …

Recent work on plan recognition as planning has shown great promise in the use of a
domain theory and general planning algorithms for the plan recognition problem. In this …

Opponent modeling is the ability to use prior knowledge and observations in order to predict
the behavior of an opponent. This survey presents a comprehensive overview of existing …

Recognizing the actions, plans, and goals of a person in an unconstrained environment is a
key feature that future robotic systems will need in order to achieve a natural human …

Automated planning can be used to efficiently recognize goals and plans from partial or full
observed action sequences. In this paper, we propose goal recognition heuristics that rely …