Science, technology and the future of small autonomous drones
By Dario Floreano, Robert J. Wood. 2015
1,346 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Antonio Loquercio
- Irem Bor-Yaliniz
- Halim Yanikomeroglu
- Luca Benini
- Daniele Palossi
- Davide Scaramuzza
- Dit-Yan Yeung
- Siyi Li
In Computer Networks and Communications
- Giuseppe Aceto
- Valerio Persico
- Antonio Pescapè
- Irem Bor-Yaliniz
- Luca Benini
- Dit-Yan Yeung
- Halim Yanikomeroglu
- Davide Scaramuzza
In Computer Vision and Pattern Recognition
- Antonio Loquercio
- Davide Scaramuzza
- Siyi Li
- Francesco Conti
- Luca Benini
- Daniele Palossi
- Dit-Yan Yeung
- Eric Flamand
Citations in the corpus
- A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones (2018, background): “…operate near humans (for surveillance, monitoring, ambient awareness, interaction with smart environments, etc.) [4] and for highly-populated urban areas, where they can exploit complementary sense-act capabilities to interact with the surroundings (e.g., smart-building, smart-cities, etc.) [5].”
- A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, methodology): “Autonomous, robotic, and unmanned aerial vehicles have been developed for farming purposes [209], [216], such as mechanical weeding, application of fertilizer, or harvesting of fruits; when equipped with hyperspectral cameras, these devices can be also used to calculate biomass development and ferti”
- The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts (2021, background): “This new generation of agentic IS artifacts is imbued with the capacity to learn, adapt, act autonomously, and be aware of the need to act without being prompted by users (e.g., Floreano and Wood 2015; Russell 2019).”
- Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models (2017, background): “In recent years, we have witnessed the advent of a new type of robot, unmanned aerial vehicles (UAVs) or drones (Floreano and Wood 2015).”
- Soft phototactic swimmer based on self-sustained hydrogel oscillator (2019, background): “Oscillation is a classic mechanical motion used to generate kinetic energy in propulsion and directional locomotion for various applications, such as robots (6), wind-powered drones (7), sensing (8), and energy coupling (9).”
- The New Frontier in RAN Heterogeneity: Multi-Tier Drone-Cells (2016, background): “Therefore, DMF is unlikely to alleviate the need for drones with high levels of autonomy [7, Ch. 70], but DMF can provide guidelines, as demonstrated in the following section.”