News
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April 2022 - New NPRP grant awarded! Awarding of project proposal for NPRP-S cycle 14, QNRF Project proposal Greenhouse-5.0: AI robotics for automated data collection, analytics, and decision support in greenhouse farming has been selected for funding from QNRF. I'm project's Lead PI. This will be exciting! mis.qgrants.org/Public/AwardSearch.aspx |
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October 2021 - In the news! Interview on AI for the Gulf Times newspaper AI grand challenges and transformational impact www.gulf-times.com/story/703383/AI-to-transform-all-types-of-jobs-within-a-decade-says-expert |
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October 2021 - Interview in the STEM TV Show, RAI
STEM Episode 16: Insects (in Italian) A scientific TV series from RAI Culture (Italian public TV broadcasting network). I'm interviewed in the section starting at about minute 18:40 focusing on Swarm Intelligence and Swarm Robotics. www.raiplay.it/video/2021/10/Stem---pt16-Insetti-c8932fbf-9b16-4f23-b0c0-0478efa012b1.html |
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October 2021 - Panelist in AI Webinar
AI Grand Challenges: A panel discussion (Ganesh Mani, chair) Ganesh Mani (CMU), Gianni. A. Di Caro (CMU-Q), Patrick McSharry (CMU-Africa), Beverly Woolf (Univ. of Massachusetts), Francesca Rossi (IBM), Dag Spicer (Computer History Museum), Mercy Asiedu (MIT) www.youtube.com/watch?v=F-gYwocLSGQ |
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April 2021 - New journal paper accepted!
Spatially-Distributed Missions with Heterogeneous Multi-Robot Teams, E. Feo-Flushing, L. Gambardella, G. A. Di Caro IEEE Access ieeexplore.ieee.org/document/9420064 |
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February - March 2021 - New Conference Papers accepted!
Multi-robot informative path planning using a leader-follower architecture, G.A. Di Caro and A.W. Ziaullah Yousaf. IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China, May 30 - June 5, 2021 Map learning via adaptive region-based sampling in multi-robot systems, G.A. Di Caro and A.W. Ziaullah Yousaf. 15th International Symposium on Distributed Autonomous Robotic Systems (DARS), Kyoto, Japan, June 1–4, 2021 |
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August 2020 - New Journal Article!
Swarm Intelligence and Cyber-Physical Systems: Concepts, Challenges and Future Trends, M. Schranz, G. A. Di Caro, T. Schmickl, W. Elmenreich, F. Arvin, A. Sekercioglu, M. Sende. Swarm and Evolutionary Computation, Elsevier, 2020 DOI: doi.org/10.1016/j.swevo.2020.100762 |
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August 2020 - New Project Grant Awarded!
Communications-aware distributed deep reinforcement learning in multi-robot teams for underwater inspection tasks G. Di Caro (LPI), 1 Year |
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July 2019 - New special issue on OR Spectrum
Machine Learning and Combinatorial Optimization, G. A. Di Caro, R. Montemanni, M. Salani, V. Maniezzo (editors) Submission deadline: January 31, 2020, July 3-5, 2019 |
August 2019 - New keynote talk!
Human-Swarm interaction and cooperation, G. A. Di Caro
IEEE RAS Summer School on Multi-Robot Systems, Prague, July 29 - August 2, 2019
Human-Swarm interaction and cooperation, G. A. Di Caro
IEEE RAS Summer School on Multi-Robot Systems, Prague, July 29 - August 2, 2019
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July 2019 - New conference paper presented!
Robot path planning using imprecise and sporadic advisory information from humans, G. A. Di Caro, E. Feo-Flushing 20th Towards Autonomous Robotic Systems Conference (TAROS), London, July 3-5, 2019 |
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June 2019 - New invited talk!
A Survey of Machine Learning for Combinatorial Optimization, G. A. Di Caro 30th European Conference on Operations Research (EURO), Dublin, 23-26 June, 2019 |
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May 2019 - TARMEM project is starting up!
Finally, the NPRP10 TARMEM (Teams of Aquatic and Aerial Robots for Marine Environmental Monitoring) project is starting up. Project description and news can be accessed at: www.tarmem.org |
1 May 2018 - New CMU-Q graduates, class 2018!
Congratulations to all 90 new CMU-Q graduates, 13 from CS, and in particular to Fatma Tlili, Rohith Pillai, and Aisha Mohamed who did their senior theses with me as an advisor! |
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24 April 2018 - New student awards!
Congratulations to Fatma and Rohith, who I'm advising for their senior thesis: their work has been awarded at the Meeting of the Minds 2018!
Fatma Tlili: Best Project Award (CMUQ) for her work on
Deep learning and pattern analysis for crack detection
Rohith Pillai: Best CS Project Award (QNRF) for his work on
A mixed initiative system for survivable path planning
Congratulations to Fatma and Rohith, who I'm advising for their senior thesis: their work has been awarded at the Meeting of the Minds 2018!
Fatma Tlili: Best Project Award (CMUQ) for her work on
Deep learning and pattern analysis for crack detection
Rohith Pillai: Best CS Project Award (QNRF) for his work on
A mixed initiative system for survivable path planning
April 2018 - New journal article:
An integer linear programming model for fair multitarget tracking in cooperative multirobot systems,
J. Banfi, J. Guzzi, F. Amigoni, E. Feo-Flushing, A. Giusti, L. Gambardella, G. A. Di Caro
Autonomous robots, DOI:10.1007/s10514-018-9735-4
An integer linear programming model for fair multitarget tracking in cooperative multirobot systems,
J. Banfi, J. Guzzi, F. Amigoni, E. Feo-Flushing, A. Giusti, L. Gambardella, G. A. Di Caro
Autonomous robots, DOI:10.1007/s10514-018-9735-4
26 March 2018 - New accepted conference paper:
A Model of Artificial Emotions for Behavior-Modulation and Implicit Coordination in Multi-robot Systems, J. Guzzi, A. Giusti, L. Gambardella, G. A. Di Caro
GECCO 2018, Kyoto, Japan, July 15-19
A Model of Artificial Emotions for Behavior-Modulation and Implicit Coordination in Multi-robot Systems, J. Guzzi, A. Giusti, L. Gambardella, G. A. Di Caro
GECCO 2018, Kyoto, Japan, July 15-19
7 January 2018 - New undergrad course, CS 15-382:
This fall semester I'm teaching a new (exciting!) CS course, that I designed from scratch:
Collective Intelligence
The course is about complex systems, multi-agent systems, swarms, networks, ...
Web site with description, slides, homework: www.qatar.cmu.edu/~gdicaro/15382/
This fall semester I'm teaching a new (exciting!) CS course, that I designed from scratch:
Collective Intelligence
The course is about complex systems, multi-agent systems, swarms, networks, ...
Web site with description, slides, homework: www.qatar.cmu.edu/~gdicaro/15382/
13 December 2017 - New Ph.D.!
My Ph.D. student Eduardo Feo-Flushing has successfully defended his thesis on Collaborative missions with heterogeneous networked teams at the University of Lugano (USI), Switzerland.
Congratulations Dr. Feo!!
My Ph.D. student Eduardo Feo-Flushing has successfully defended his thesis on Collaborative missions with heterogeneous networked teams at the University of Lugano (USI), Switzerland.
Congratulations Dr. Feo!!
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10 July 2017 - Keynote @ Lakeside Labs Research days 2017
I gave a keynote talk on Robot Swarms: The human-in-the-loop, at the Research days 2017 organized by Lakeside Labs on the topic of Self-organization and Swarm Intelligence in Cyber-Physical systems, Klagenfurt, Austria, July 10-12, 2017 Website of the event: researchdays.lakeside-labs.com/ Video of the talk: www.youtube.com/watch?v=S4057TOMUNA |
15 June 2017 - New research project funded!
Research project Teams of Aquatic / Aerial Robots for Marine Environmental Monitoring, has been awarded 600,000 USD funding from Qatar National Research Fund (QNRF) under program NPRP cycle 10
I'm the leading PI. Profs. Filippo Arrichiello and Enrico Simetti from ISME, Italy, are co-PIs
Research project Teams of Aquatic / Aerial Robots for Marine Environmental Monitoring, has been awarded 600,000 USD funding from Qatar National Research Fund (QNRF) under program NPRP cycle 10
I'm the leading PI. Profs. Filippo Arrichiello and Enrico Simetti from ISME, Italy, are co-PIs
Highlights of recent research (up to 2016)
SWARMIX:
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Adaptive relay control in mobile robotic networksThe position of mobile robots acting as network relays in a mobile ad hoc network is adaptively controlled based on a mathematical model that jointly outputs positions and routing tables.
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Swarm recognition of human gestures
A swarm of small robots collectively classify human gestures for building an intuitive modality for human-swarm interaction
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Robots are mainly passive during the interaction. Decoding and fusion of vocal and gestural commands is done using wearable devices and local networking.
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Deep learning techniques are used to train a neural network to recognize forest trails. The network is used by the controller of a quadrotor to autonomously and safely navigate among trees..
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