Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA
Abstract :
Space is a rich and highly variable domain for the application of robotic & automated systems. The applications environment is often unstructured, unpredictable, fast changing, and poorly suited - in the sense of both system performance and risk - to use of heuristics to address the unexpected. These comments become more specific in the consideration of autonomous surface mobility (e.g. rovers for science exploration) and high dexterity remote robotic operations (e.g. tele-manipulation with human in-loop commanding and time delay). We overview the current art for these two application areas, discuss R&D examples developed to date toward more adaptive capabilities within, and outline some open research challenges to future learning and adaptive perception & control in space robotics.
Keywords :
adaptive control; adaptive systems; aerospace robotics; learning systems; mobile robots; adaptive system; autonomous surface mobility; high dexterity remote robotic operation; learning system; space robotics;
Conference_Titel :
Learning and Adaptive Behaviors for Robotic Systems, 2008. LAB-RS '08. ECSIS Symposium on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-7695-3272-1
DOI :
10.1109/LAB-RS.2008.7