IEEE Robotics & Automation Magazine - September 2023 - 163

robots are in the process
of being better equipped
to comprehend and interpret
human language,
enabling effective communication
and interaction
in diverse contexts.
These three noteworthy
WITH ITS GROWING
MEMBERSHIP OF 249
IN 2023, TC-CORO
AIMS TO DISSEMIinnovations
demonstrate
the evolving landscape
of cognitive robotics
as researchers strive to
develop robots that can
meaningfully engage with
humans, leverage ad -
vanced learning techniques,
and grasp the
nuances of language in everyday scenarios.
Looking ahead, the challenges in cognitive
robotics involve demonstrating
the generalizability of robot skills,
their adaptivity, and their ability to
exhibit long-term learning in interactions.
This requires a balanced approach to
NATE THE TOPICS OF
COGNITIVE ROBOTICS
FURTHER AND
MAINTAIN AN ACTIVE
DISCUSSION
ACROSS DISCIPLINES.
exploration-exploitation,
enabling prospection
and internal simulation,
leveraging a cor rect
combination of language
and nonverbal communication,
and developing
a robust memory system.
An architectural view of
robot cognition will be
crucial in achieving continuous
and adaptive collaboration.
It might also
support addressing the
challenge of enabling
robots to handle dyadic
interactions and more
complex group scenarios, such as autonomous
driving in populated areas or
collaborative robotics in industry.
With its growing membership of
249 in 2023 (Figure 5), TC-CoRo aims
to disseminate the topics of cognitive
robotics further and maintain an active
discussion across disciplines. The
committee offers numerous resources,
an active member mailing list, and
support for organizing events related
to cognitive robotics, contributing to
the advancement and awareness of this
exciting field.
REFERENCES
[1] G. Sandini, A. Sciutti, and D. Vernon, " Cognitive
robotics, " in Encyclopedia of Robotics, M. H. Ang,
O. Khatib, and B. Siciliano, Eds. Berlin, Germany:
Springer-Verlag, 2021, pp. 1-7, doi: 10.1007/9783-642-41610-1_198-1.
[2]
S. Shimoda et al., " What is the role of the next
generation of cognitive robotics? " Adv. Robot.,
vol. 36, nos. 1-2, pp. 3-16, Jan. 2022, doi: 10.1080/
01691864.2021.2011780.
[3] A. Cangelosi and M. Asada, Cognitive Robotics.
Cambridge, MA, USA: MIT Press, 2021.
[4] H. Okada, T. Inamura, and K. Wada, " What competitions
were conducted in the service categories of the
world robot summit, " Adv. Robot., vol. 33, no. 17, pp.
900-910, Sep. 2019, doi: 10.1080/01691864.2019.1663608.
[5] L. Lastrico et al., " Expressing and inferring action
carefulness in human-to-robot handovers, " in Proc.
IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS),
2023, to be published.
O P I NI ON (continued from page 151)
ACKNOWLEDGMENT
This work is partially supported by the
European Research Council under the
European Union's Horizon 2020
Research and Innovation Program,
grant agreement 742671 (Automous
Robotic Surgery, ars-project.eu). The
corresponding author is Paolo Fiorini.
AUTHORS
Eleonora Tagliabue, Department of
Engineering for Precision Medicine,
University of Verona, 37134 Verona,
Italy. E-mail: eleonora.tagliabue@univr.it
Marco Bombieri, Department of
Engineering for Precision Medicine,
University of Verona, 37134 Verona, Italy.
E-mail: marco.bombieri_01@univr.it.
Paolo Fiorini, Department of
Engineering for Precision Medicine,
University of Verona, 37134 Verona, Italy.
E-mail: paolo.fiorini@univr.it.
Diego Dall'Alba, Department of
Engineering for Precision Medicine, University
of Verona, 37134 Verona, Italy.
E-mail: diego.dallalba@gmail.com.
REFERENCES
[1] A. Attanasio, B. Scaglioni, E. De Momi, P.
Fiorini, and P. Valdastri, " Autonomy in surgical
robotics, " Annu. Rev. Contr., Robot., Auton. Syst.,
vol. 4, no. 1, pp. 651-679, May 2021, doi: 10.1146/
annurev-control-062420-090543.
[2] P. Fiorini, K. Y. Goldberg, Y. Liu, and R. H.
Taylor, " Concepts and trends in autonomy for robotassisted
surgery, " Proc. IEEE, vol. 110, no. 7, pp. 993-
1011, Jul. 2022, doi: 10.1109/JPROC.2022.3176828.
[3] E. Davis and G. Marcus, " Commonsense reasoning
and commonsense knowledge in artificial intelligence, "
Commun. ACM, vol. 58, no. 9, pp. 92-103,
Aug. 2015, doi: 10.1145/2701413.
[4] N. Tandon, A. S. Varde, and G. de Melo,
" Commonsense knowledge in machine intelligence, "
ACM SIGMOD Rec., vol. 46, no. 4, pp. 49-52, Feb. 2018,
doi: 10.1145/3186549.3186562.
[5] M. Bombieri, M. Rospocher, S. P. Ponzetto,
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Comput. Biol. Med., vol. 152, Jan. 2023, Art.
no. 106415, doi: 10.1016/j.compbiomed.2022.
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[6] F. Lalys and P. Jannin, " Surgical process modelling:
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10.1007/s11548-013-0940-5.
[7] Y. Fong, Y. Woo, W. J. Hyung, C. Lau, and V. E.
Strong, The SAGES Atlas of Robotic Surgery. Cham,
Switzerland: Springer, 2018.
[8] " Taxonomy and definitions for terms related to
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SAE Int., Warrendale, USA, Rep. no.
J3016_202104, 2021.
[9] G.-Z. Yang et al., " Medical robotics-
Regulatory, ethical, and legal considerations for
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no. 4, Mar. 2017, Art. no. eaam8638, doi: 10.1126/
scirobotics.aam8638.
[10] " The artificial intelligence act, " Council of the
European Union, Brussels, Belgium, Apr. 2021.
Accessed: May 22, 2023. [Online]. Available: https://
artificialintelligenceact.eu
Open Access funding provided by 'Università degli Studi di Verona' within the CRUI CARE Agreement
SEPTEMBER 2023 IEEE ROBOTICS & AUTOMATION MAGAZINE
163
http://dx.doi.org/10.1080/01691864.2019.1663608 http://www.ars-project.eu http://https:// http://www.artificialintelligenceact.eu
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