Corpus ID: 198940468

Deploying Robots in Everyday Environments : Towards Dependable and Practical Robotic Systems

@inproceedings{Mitrevski2018DeployingRI,
  title={Deploying Robots in Everyday Environments : Towards Dependable and Practical Robotic Systems},
  author={Alex Mitrevski and Santosh Thoduka and Argentina Ortega S{\'a}inz and Maximilian Sch{\"o}bel and P. Nagel and P. Pl{\"o}ger and E. Prassler},
  year={2018}
}
  • Alex Mitrevski, Santosh Thoduka, +4 authors E. Prassler
  • Published 2018
  • Robot deployment in realistic dynamic environments is a challenging problem despite the fact that robots can be quite skilled at a large number of isolated tasks. One reason for this is that robots are rarely equipped with powerful introspection capabilities, which means that they cannot always deal with failures in a reasonable manner; in addition, manual diagnosis is often a tedious task that requires technicians to have a considerable set of robotics skills. In this paper, we discuss our… CONTINUE READING
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    References

    SHOWING 1-10 OF 22 REFERENCES
    On Fault Detection and Diagnosis in Robotic Systems
    • 31
    Safety-critical advanced robots: A survey
    • 71
    • PDF
    A Survey about Faults of Robots Used in RoboCup
    • 44
    Robotic fault detection and fault tolerance: A survey
    • 172
    • PDF
    Enhancing fault tolerance of autonomous mobile robots
    • 35
    • PDF
    Follow-up analysis of mobile robot failures
    • 116
    • PDF
    Sensor Analysis for Fault Detection in Tightly-Coupled Multi-Robot Team Tasks
    • Xingyan Li, L. Parker
    • Computer Science
    • Proceedings 2007 IEEE International Conference on Robotics and Automation
    • 2007
    • 23
    • PDF
    CRAMm -- Memories for Robots Performing Everyday Manipulation Activities
    • 32
    • PDF
    PR2 Remote Lab: An environment for remote development and experimentation
    • 45
    • PDF
    Expert system framework for fault detection and fault tolerance in robotics
    • 74
    • PDF