14 citations · 24 across the 7 of their papers we have counts for
7 papers
Generative Manufacturing: A requirements and resource-driven approach to part making
Hongrui Chen, Aditya Joglekar, Zack Rubinstein +6
Advances in CAD and CAM have enabled engineers and design teams to digitally design parts with unprecedented ease. Software solutions now come with a range of modules for optimizin…
CURE: Simulation-Augmented Auto-Tuning in Robotics
Md Abir Hossen, Sonam Kharade, Jason M. O'Kane +3
Robotic systems are typically composed of various subsystems, such as localization and navigation, each encompassing numerous configurable components (e.g., selecting different pla…
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots
Md Abir Hossen, Sonam Kharade, Bradley Schmerl +6
Robotic systems have subsystems with a combinatorially large configuration space and hundreds or thousands of possible software and hardware configuration options interacting non-t…
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation
Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova +16
Artifacts support evaluating new research results and help comparing them with the state of the art in a field of interest. Over the past years, several artifacts have been introdu…
Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning
Danny Weyns, Bradley Schmerl, Masako Kishida +5
Two established approaches to engineer adaptive systems are architecture-based adaptation that uses a Monitor-Analysis-Planning-Executing (MAPE) loop that reasons over architectura…
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots
Pooyan Jamshidi, Javier Cámara, Bradley Schmerl +2
Modern cyber-physical systems (e.g., robotics systems) are typically composed of physical and software components, the characteristics of which are likely to change over time. Assu…