Model-Based Adaptation for Robotics Software - Robotics Institute Carnegie Mellon University

Model-Based Adaptation for Robotics Software

Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, and Pooyan Jamshidi
Journal Article, IEEE Software, Vol. 36, No. 2, pp. 83 - 90, March, 2019

Abstract

We developed model-based adaptation, an approach that leverages models of software and its environment to enable automated adaptation. The goal of our approach is to build long-lasting software systems that can effectively adapt to changes in their environment.

BibTeX

@article{Aldrich-2019-126717,
author = {Jonathan Aldrich and David Garlan and Christian Kästner and Claire Le Goues and Anahita Mohseni-Kabir and Ivan Ruchkin and Selva Samuel and Bradley Schmerl and Christopher Steven Timperley and Manuela Veloso and Ian Voysey and Joydeep Biswas and Arjun Guha and Jarrett Holtz and Javier Cámara and Pooyan Jamshidi},
title = {Model-Based Adaptation for Robotics Software},
journal = {IEEE Software},
year = {2019},
month = {March},
volume = {36},
number = {2},
pages = {83 - 90},
}
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.