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However, the top layer in traditional hybrid architectures, designed to achieve long-term goals, can make it difficult to react quickly to human interactions during goal-driven execution. ... To validate this architecture, we present a case study of its application on a domestic service robot platform. ... In this paper, we propose a layered architecture for autonomous interactive robots, LAAIR, to facilitate complex tasks in long-term settings and dynamic interactions with humans in real-world domains. ...arXiv:1811.03563v2 fatcat:2lbuzmmwvrfi7eldbaj4tjsnsy
Our focus in 2019 is robustness and portability to multiple robot platforms. Presented at RoboCup 2019 in Sydney, Australia. ... SLAM-generated map with location names PRISM: Pose Registration for Integrated Semantic Mapping LAAIR: A Layered Architecture for Autonomous Interactive Robots Knowledge Representation • Goal ... decision-making • Result: Robust person following Top-Level Architecture • Goal: Build a unified system for a domestic service robot, rather than the individual RoboCup@Home tasks. ...doi:10.5281/zenodo.3249233 fatcat:qiettptg6jfyxnowm3rtawe2vy
This paper presents a software architecture for robots providing manipulation services autonomously in human environments. ... In this work, we suggest a software architecture that integrates the components necessary to perform tasks by a real robot without human intervention. ... Hyunseob Park for helping the public demonstration. ...doi:10.1109/access.2020.3003991 fatcat:ttqqchxburch7bb3gioam63xxa
Although the mobile manipulation capability is crucial for a service robot to perform physical work without human support, the long-term autonomous operation of such a mobile manipulation robot in a real ... In this paper, we present a modular, general purpose software framework for intelligent mobile manipulation robots that can interact with humans using complex human speech commands; navigate smoothly in ... It also has a small display that can be used for status monitoring and human-robot interactions. ...doi:10.3390/app10175874 fatcat:tqpkytj5ovcyvk3klspnlddupi