News
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!!
|
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:
|
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.
|
Swarm recognition of human gestures
A swarm of small robots collectively classify human gestures for building an intuitive modality for human-swarm interaction
|
|
|
|
Robots are mainly passive during the interaction. Decoding and fusion of vocal and gestural commands is done using wearable devices and local networking.
|
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..
|
