This paper describes a collaborative multiagent modeling and simulation approach for designing work systems. The Brahms environment is used to model mission operations for a semi-autonomous robot mission to the Moon at the work practice level. It shows the impact of human-decision making on the activities and energy consumption of a robot. A collaborative work systems design methodology is desc...

This paper reports on research on developing the ability for robots to engage with humans in a collaborative conversation for hosting activities. It defines the engagement process in collaborative conversation, and reports on our progress in creating a robot to perform hosting activities.. The paper then presents the analysis of a study of humanhuman “look tracking” and discusses rules that wil...

In this paper we consider the problem of exploring an unknown environment by a team of robots. As in single-robot exploration the goal is to minimize the overall exploration time. The key problem to be solved therefore is to choose appropriate target points for the individual robots so that they simultaneously explore different regions of their environment. We present a probabilistic approach f...

This paper presents a probabilistic algorithm for collaborative mobile robot localization. Our approach uses a sample-based version of Markov localization, capable of localizing mobile robots in an any-time fashion. When teams of robots localize themselves in the same environment, probabilistic methods are employed to synchronize each robot’s belief whenever one robot detects another. As a resu...

This paper reports on research on developing the ability for robots to engage with humans in a collaborative conversation for hosting activities. It defines the engagement process in collaborative conversation, and reports on our progress in creating a robot to perform hosting activities. The paper then presents the analysis of a study that tracks the looks between collaborators and discusses r...

Adaptation is critical for effective team collaboration. This paper introduces a computational formalism for mutual adaptation between a robot and a human in collaborative tasks. We propose the Bounded-Memory Adaptation Model, which is a probabilistic finite-state controller that captures human adaptive behaviors under a bounded-memory assumption. We integrate the Bounded-Memory Adaptation Mode...

This paper, presents a formal approach that addresses the reciprocal robots collision avoidance, where collaborative robots need to avoid collisions one with each other while moving in a common workspace. Based on our formulation, each physical robot acts fully independently, communicating with corresponding virtual prototype and imitating her behavior. Each physical robot reproduces the pathwa...

Ultra-wideband (UWB) localization is one of the most promising indoor localization methods. Yet, non-line-ofsight (NLOS) positioning scenarios remain a challenge and can potentially cause significant localization errors. In this work, we leverage the collaborative paradigm of a multi-robot system by sharing relative positioning information, and thus alleviating error susceptibility in NLOS rang...

1. BASTIDAS-CRUZ A., HEIMANN O., HANINGER K., KRÜGER J., 2020, Information Requirements and Interfaces for the Programming of Robots in Flexible Manufacturing, Annals Scientific Society Assembly, Handling Industrial Robotics, 183–192. Google Scholar