-We pariicipaied in field trials of a semiautonomous vehicle. This gave us an apporiunity io coileci data on operaior inierveniions. In this paper we present an analysis of why and how operators intervene and examine the eflciency of these inierveniions. We compare the results from two trials in very dcferent ierrain io determine how this affected the time and success of the operaior interventions. In particular, we look ai the time it took operators to acquire situational mvareness in order to take the proper inieraciion. We discuss the implications of ihis on human-robot interaciions and inierJaces.
This paper outlines a methodology to evaluate supervisory user interfaces for robotic vehicles based on an assessment of situational awareness. The results of an initial experiment are discussed. The evaluation method will be validated in a future experiment that will also result in a benchmarked user interface.
Abstract-The Peer-to-Peer Human-Robot Interaction (P2P-HRI) project is developing techniques to improve task coordination and collaboration between human and robot partners. Our work is motivated by the need to develop effective human-robot teams for space mission operations. A central element of our approach is creating dialogue and interaction tools that enable humans and robots to flexibly support one another. In order to understand how this approach can influence task performance, we recently conducted a series of tests simulating a lunar construction task with a human-robot team. In this paper, we describe the tests performed, discuss our initial results, and analyze the effect of intervention on task performance.
We present a comprehensive framework and test methodology for the evaluation of human-machine interfaces (HMI) and human-robot interactions (HRI) in collaborative manufacturing applications. An overview of the challenges that face current-and next-generation collaborative robot systems is presented, specifically focused on the interactions between man and machine, and a series of objectively quantitative and subjectively qualitative metrics are given to guide the development and assessment of interfaces and interactions. A generalized set of guidelines for the design of HMI is also proposed to address these challenges and thereby enable effective and intuitive diagnostics and error corrections when process failures occur. These guidelines are aimed at aiding researchers in developing effective interface and interaction technologies, maximizing operator situation awareness in human-robot collaborative manufacturing teams, promoting effective process and system diagnostics reporting, and enabling faster responses to equipment or application errors. CCS Concepts: • Human-centered computing → Collaborative interaction; User interface design; User centered design; • Computer systems organization → External interfaces for robotics;
An overview of the challenges associated with robot workcell calibration and registration is presented, with a particular focus on the challenges faced by small-and medium-sized manufacturing enterprises (SMEs). Considerations for the barriers to integrating systemsof-systems workcells are described, and the proposed solutions from literature are presented. We discuss the impacts that calibration and registration have on many common robot applications, and highlight specific use cases of robot-sensor and robot-robot system registration.
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