Publication | Open Access
RoboMAX: Robotic Mission Adaptation eXemplars
19
Citations
14
References
2021
Year
Unknown Venue
Artificial IntelligenceRobomax RepositoryRobotic SystemsEngineeringSpace RoboticsRobotic AgentField RoboticsAutomationExtensible RepositoryIntelligent RoboticsSystems EngineeringCognitive RoboticsComputer ScienceIntelligent SystemsRobot LearningFuture ApplicationsSelf-adaptive SystemRobotics
Emerging and future applications of robotic systems pose unique self-adaptation challenges. To support the research needed to address these challenges, we provide an extensible repository of robotic mission adaptation exemplars. Co-designed with robotic application stakeholders including researchers, developers, operators, and end-users, our repository captures key sources of uncertainty, adaptation concerns, and other distinguishing characteristics of such applications. An online form enables external parties to supply new exemplars for curation and inclusion into the repository. We envisage that our RoboMAX repository will enable the development, evaluation, and comparison of self-adaptation approaches for the robotic systems domain.
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