Active simultaneous localization and map** (SLAM) is the problem of planning and
controlling the motion of a robot to build the most accurate and complete model of the …

As robots interact with a broader range of end-users, end-user robot programming has
helped democratize robot programming by empowering end-users who may not have …

Problems of cooperation--in which agents seek ways to jointly improve their welfare--are
ubiquitous and important. They can be found at scales ranging from our daily routines--such …

This paper presents safety barrier certificates that ensure scalable and provably collision-
free behaviors in multirobot systems by modifying the nominal controllers to formally satisfy …

Both Minsky's" society of mind" and Schmidhuber's" learning to think" inspire diverse
societies of large multimodal neural networks (NNs) that solve problems by interviewing …

This paper presents a novel path planning algorithm for the autonomous exploration of
unknown space using aerial robotic platforms. The proposed planner employs a receding …

In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown
significantly in size and importance in recent years. Having made great progress in the …

In current robotics research there is a vast body of work on algorithms and control methods
for groups of decentralized cooperating robots, called a swarm or collective. These …

We explore the framework of permutation-based p-values for assessing the performance of
classifiers. In this paper we study two simple permutation tests. The first test assess whether …

Within this paper a new path planning algorithm for autonomous robotic exploration and
inspection is presented. The proposed method plans online in a receding horizon fashion by …