Model-based Adaptation for Robotics Software

kaestner@cs.cmu.edu (J. Aldrich, J. Biswas, J. Cámara, D. Garlan, A. Guha, J. Holtz, P. Jamshidi, C. Kästner, C. Le Goues, A. Mohseni-Kabir, I. Ruchkin, S. Samuel, B. Schmerl, C. Timperley, M. Veloso, I. Voysey)
Mon, 04 Mar 2019 09:57:56 -0500

Jonathan Aldrich, Joydeep Biswas, Javier Cámara, David Garlan, Arjun Guha, Jarrett Holtz, Pooyan Jamshidi, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley Schmerl, Christopher Timperley, Manuela Veloso, and Ian Voysey. Model-based Adaptation for Robotics Software. IEEE Software (IEEE-Sw), 36(2):83--90, 2019.

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.