IEEE Robotics & Automation Magazine - September 2015 - 27
Automation and the IEEE/Robotics
Society of Japan International Conference on Intelligent Robots and Systems.
(a)
(b)
(c)
(d)
Figure 4. Researchers at the GRASP Laboratory at the University of Pennsylvania are
developing swarms that can autonomously navigate and explore unknown and potentially
hostile environments, without a designated leader, with limited communications between
its members, and/or with different and potentially dynamically changing roles for its
members. [Photos courtesy of Ben Charrow (student), Nathan Michael (coadvisor),
and Vijay Kumar (coadvisor). See http://kumar.grasp.upenn.edu.]
Conclusion
Research in networked robotics continues to be extremely active. Our TC has
been dynamically adjusting its focus to
support and promote research in the area.
Furthermore, networking plays a crucial
role in multirobot systems, agricultural
and marine robotics, and smart environments. Our members closely collaborate
with associated technical committees in
these areas. As the roles of big data, communication, and coordination become
more prominent in robotics, we expect
networking to maintain a crucial role.
Acknowledgments
Special thanks to Ken Goldberg for
providing most of the text on cloud
computing. Volkan Isler also thanks
Figure 5. In a networked system, there are a few key issues that need to be considered for data sharing and processing. These issues are
phrased in the form of the following four questions. First, what type of data is shared among robots? Second, how are these data shared
among robots? Third, where are these data processed? Finally, how is the processing performed? Howard Li and his group investigated these
issues of data communication, data sharing, data distribution, and data processing [3].
(a)
(b)
(c)
Figure 6. The promise of multirobot networks centers on the assumption that communication among robots is accurate and trustworthy.
Even a simple-to-execute cyberattack, where, through spawning false identities, a single malicious robot gains disproportionate influence in
the network, can be crippling to the entire system. Researchers at MIT's CSAIL Lab have developed a new and effective method of defense
against these cyberattacks that fingerprints all transmitted wireless signals so that malicious robots can be automatically detected and
quarantined, with no extra hardware or complex cryptographic schemes necessary. The figure shows their solution applied to a coverage
problem where two quadrotor robots (shown as white Xs) must provide coverage to legitimate clients (green dots) in the presence of many
falsely created clients (red dots) [7]. (a) No security, (b) Oracle, and (c) our system. (Photo courtesy of Daniela Rus.)
September 2015
*
IEEE ROBOTICS & AUTOMATION MAGAZINE
*
27
http://kumar.grasp.upenn.edu
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