Model-Based Adaptation for Robotics Software
Jonathan Aldrich, David Garlan, Christian Kaestner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Seelan Samuel, Bradley R. Schmerl, Christopher S. Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, Pooyan Jamshidi · IEEE Software · 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.