Dr.-Ing. Fereshta Yazdani

Publications in Human-Robot Rescue Teams and Human-Robot Interaction:
[1] Fereshta Yazdani, Benjamin Brieber, Michael Beetz, "Cognition-enabled Robot Control for Mixed Human-Robot Rescue Teams", In In Proceedings of the 13th International Conference on Intelligent Autonomous Systems (IAS-13), Springer, vol. 302, Padova, Italy, pp. 1357 - 1369, 2014.
[2] Asil Kaan Bozcuoglu, Fereshta Yazdani, Daniel Beßler, Bogdan Togorean, Michael Beetz, "Reasoning on Communication Between Agents in a Human-Robot Rescue Team", In Towards Intelligent Social Robots – Current Advances in Cognitive Robotics, Seoul, Korea, 2015.
[3] Sebastian Blumenthal, Benjamin Brieber, Nico Huebel, Fereshta Yazdani, Michael Beetz, Herman Bruyninckx, "A Case Study for Integrating Heterogeneous Knowledge Bases for Outdoor Environments", In International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 2016.
[4] Fereshta Yazdani, Matthias Scheutz, Michael Beetz, "Guidelines for Improving Task-based Natural Language Understanding in Human-Robot Rescue Teams", In Proceedings of the 2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Debrecen, Hungary, 2017.
[5] Fereshta Yazdani, Matthias Scheutz, Michael Beetz, "Cognition-enabled Task Interpretation for Human-Robot Teams in a Simulation-based Search and Rescue Mission (Extended Abstract)", In Proceedings of the 2017 International Conference on Autonomous Agents, 2017.
[6] Fereshta Yazdani, Gayane Kazhoyan, Asil Kaan Bozcuoglu, Andrei Haidu, Ferenc Balint-Benczedi, Daniel Beßler, Mihai Pomarlan, Michael Beetz, "Cognition-enabled Framework for Mixed Human-Robot Rescue Team", In International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018.
[7] Lisset Salinas Pinacho, Alexander Wich, Fereshta Yazdani, Michael Beetz:
Acquiring Knowledge of Object Arrangements from Human Examples for Household Robots. KI 2018: 131-138
[8] Fereshta Yazdani, Sebastian Blumenthal, Nico Huebel, Asil Kaan Bozcuoglu, Michael Beetz, Herman Bruyninckx, "Query-based Integration of Heterogeneous Knowledge Bases for Search and Rescue Tasks", In Robotics and Autonomous Systems (RAS), Elsevier, vol. 117, pp. 80-91, 2019.
[9] Tom Williams, Fereshta Yazdani, Prasanth Suresh, Matthias Scheutz, Michael Beetz: Dempster-Shafer theoretic resolution of referential ambiguity. Auton. Robots 43(2): 389-414 (2019)
[10] Fereshta Yazdani: Cognition-enabled mixed-initiative infrastructure to accomplish human-robot rescue missions, 2021.

Presentations in Human-Robot Interaction:
(2014) IUSAR 2014 workshop (IAS 13) presentations, cognition-enabled robot control, Padua (Italy).
(2015) TUFTS University Human-Robot Laboratory, natural taskability of heterogenous teams in rescue missions, Boston (MA).
(2016) SHERPA summer school, cognition-enabled reasoning in mixed human-robot teams, Passo Pordoi (Italy).

Presentations and Interviews in other fields:
(2021) Speak-up bei Women in Tech (https://bit.ly/3y3OKYB, https://lmy.de/yFyu0)
(2021) Die Auswirkungen des Gender-Bias in der KI auf den Menschen und wie diese zu überwinden sind (https://bit.ly/3w38J8e)
(2021) The Intersection of AI and Robotics bei BOECK & XOXO (https://lmy.de/pba24)
(2021) The Power of Cross-Technology Innovation bei BOECK & XOXO (https://lmy.de/vGlNK)
(2021) Das Berufsbild des Data Scientisten bei MentorMe (https://lmy.de/wVd8n)
(2021) Der Impact von unconscious Bias auf Berufsleben und Gesellschaft bei Otto-Group (fAIstival Hamburg)
(2021) Artificial Intelligence (AI) Chance or Risk: Can AI do justice in a biased-world? (fAIstival Hamburg)
(2021) Spotlight - Diversity Matters. Roundtable: Digitale Transformation-Female Disruption (Oracle Women's Leadership)
(2021) Gender Bias in der KI - nur eine Utopie?(Business Breakfast | AI for Hamburg GmbH)