This article presents a survey of literature in the area of Human–Robot Interaction (HRI),
specifically on systems containing more than two agents (ie, having multiple humans and/or …

Recent progress in both AI and robotics have enabled the development of general purpose
robot platforms that are capable of executing a wide variety of complex, temporally extended …

Abstract According to the World Health Organization, at least 2.2 billion people worldwide
are blind or have some degree of near or distance vision impairment. Guide Dogs and other …

Roles such as leading and following can emerge naturally in human groups. However, in
human–robot teams, such roles are often predefined due to the difficulty of scalably learning …

Multi-robot planning (mrp) aims at computing plans, each in the form of a sequence of
actions, for a team of robots to achieve their individual goals, while minimizing overall cost …

Multirobot symbolic planning (MSP) aims at computing plans, each in the form of a
sequence of actions, for a team of robots to achieve their individual goals while minimizing …

To operate in human-robot coexisting environments, intelligent robots need to
simultaneously reason with commonsense knowledge and plan under uncertainty. Markov …

Effective multi-agent teaming requires knowledgeable robots to have the capability of
influencing their teammates. Robots are able to possess information that their human and …

Leading and following can emerge naturally in human teams. However, such roles are
usually predefined in human-robot teams due to the difficulty of scalably learning and …

Over the past decade, Monte Carlo Tree Search (MCTS) and specifically Upper Confidence
Bound in Trees (UCT) have proven to be quite effective in large probabilistic planning …