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Model-Based Adaptation for Robotics Software

Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley Schmerl, Chrisopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara and Pooyan Jamshidi.

In IEEE Software, March 2019.

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We have 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 mobile software systems that can effectively adapt to changes in their environment.

Keywords: Self-adaptation.  
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