Keywords :
OSAM; Autonomy, On-orbit Robotics, Perception; , Manipulation, Learning
Abstract :
[en] This work presents a software-oriented autonomy framework that enables the incremental development of high
robotic autonomy. The autonomy infrastructure in space applications is often cost-driven and built for a narrow
time/complexity domain. In domains like On-orbit Servicing Assembly and Manufacturing (OSAM), this prevents
scalability and generalizability, motivating a more consistent approach for the incremental development of robotic
autonomy. For this purpose, the problem of vision-based grasping is described as a building block for high autonomy
of dexterous space robots. Subsequently, the need for a framework is highlighted to enable bottom-up development
of general autonomy with vision-based grasping as the starting point. The preliminary framework presented here
comprises three components. First, an autonomy level classification provides a clear description of the autonomous
behavior of the system. The stack abstraction provides a general classification of the development layers. Finally, the
generic execution architecture condenses the flow of translating a high-level task description into real-world sense-planact routines. Overall, this work lays down foundational elements towards development of general robotic autonomy for
scalablity in space application domains like OSAM.
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