• Corpus ID: 16290861

HRTeam: a framework to support research on human/multi-robot interaction

  title={HRTeam: a framework to support research on human/multi-robot interaction},
  author={Elizabeth Sklar and S. Parsons and Arif Tuna Ozgelen and Eric Schneider and Michael Costantino and Susan L. Epstein},
The HRTeam framework supports research on discovering and evaluating methods for addressing a range of issues in human/multi-robot team interaction. Three sample tasks illustrate the methods currently being investigated: mission selection, dictated by a human operator; collision avoidance, taught by a human trainer; and targeted exploration, jointly achieved with a human collaborator. Physical and simulated multi-robot environments are used to support this research. 

Figures from this paper

An Approach to Supervisory Control of Multi-Robot Teams in Dynamic Domains
A novel, human-centric graph-based model is presented which captures the complexity of task scheduling problems in a dynamic setting and takes into account the spatial distribution of the locations of the tasks and the robots that can complete them.
Toward an argumentation-based dialogue framework for human-robot collaboration
The proposed research aims to design and implement a logic-based dialogue framework grounded on argumentation theory to address the "what to say" problem of human robot communication during a collaborative task.
Optimized Control for Human-Multi-Robot Collaboration via Multi-Agent Adaptive Dynamic Programming
A study measuring the impact of shared decision making in a human-robot team
The primary contribution of this work lies in the demonstration and evaluation of a computational argumentation approach to human-robot interaction, particularly in proving the efficacy of this approach over a less autonomous mode of interaction.
Argumentation-based dialogue games for shared control in human-robot systems
The work presented here investigates the application of argumentation-based dialogue games as the means to facilitate flexible interaction, including unscripted changes in initiative, in the Treasure Hunt Game.
Real-time supervision for human-robot teams in complex task domains
Real-Time Supervision for Human-Robot Teams in Complex Task Domains
Explanation through Argumentation
This paper describes how the two are connected and illustrates the utility of argumentation-based dialogue as a technique for implementing Explainable AI in a human-robot system.


Applying FORR to human/multi-robot teams
This extended abstract briefly describes a new methodology for shared decision-making in human/multi-robot teams. We present a new application of FORR ,a cognitive architecture that considers the
Analysis of Human-Robot Interaction for Urban Search and Rescue
Usability tests were conducted to compare the two interfaces developed for humanrobot interaction (HRI) in this domain, one of which emphasized three-dimensional mapping while the other design emphasized the video feed.
Designing the HRTeam framework: lessons learned from a rough-and-ready human/multi-robot team
The design and on-going implementation of the HRTeam framework is shared, which is constructed to support multiple robots working with a human operator in a dynamic environment to support application of multi-agent techniques in a hardware-based environment.
Human-robot interaction in USAR technical search: two heads are better than one
  • J. Burke, R. Murphy
  • Psychology
    RO-MAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No.04TH8759)
  • 2004
In studies with 2:1 robot teams, operators who talked more with their teammates about the search environment, the robot's situatedness in that environment, and search strategies seemed to develop a shared mental model of both the search environments and the task at hand.
Human-robot teaming for search and rescue
This work establishes an architecture for Urban Search and Rescue and a methodology for mixing real-world and simulation-based testing, which include the multiagent system (MAS) infrastructure, the simulation environment, and the approach to sensor fusion and interface design for effective robotic control.
The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems
Current usage of Player and Stage is reviewed, and some interesting research opportunities opened up by this infrastructure are identified.
On Transfer from Multiagent to Multi-Robot Systems
This paper investigates the relationship between performance results collected in parallel simulated (multiagent) and physical (multi-robot) environments to establish a reliability profile for comparing different types of performance metrics in simulated versus physical environments.
Dynamically formed heterogeneous robot teams performing tightly-coordinated tasks
The challenge of pickup teams is defined and proposed and a basic implementation of a pickup team that can search and discover treasure in a previously unknown environment is described.
Robotics-assisted demining with Gryphon
This paper addresses the problem of automating the detection and removal of landmines by presenting a robot meant to assist humanitarian demining by providing a cheap, fast, reliable and safe alternative to human deminers risking their lives on a daily basis.
Humanitarian Demining: Reality and the Challenge of Technology – The State of the Arts
This paper evaluates the available mine clearance technologies and disscusses their development efforts and limitations to automate tasks related to demining process and introduces technical features and design capabilities of a mobile platform needed to accelerate the demined process and achieve safety with cost effective measures.