H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 65 Citations 17,180 210 World Ranking 393 National Ranking 10
Computer Science H-index 69 Citations 24,368 279 World Ranking 871 National Ranking 27

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Electrical engineering
  • Machine learning

His primary areas of study are Artificial intelligence, Evolutionary robotics, Robot, Mobile robot and Artificial neural network. His Artificial intelligence study integrates concerns from other disciplines, such as Genetic algorithm, Machine learning and Computer vision. His study in Evolutionary robotics is interdisciplinary in nature, drawing from both Evolutionary acquisition of neural topologies, Swarm behaviour and Artificial life.

In general Robot, his work in Ant robotics is often linked to Poison control linking many areas of study. His research integrates issues of Swarm robotics, Autonomous agent and Control engineering in his study of Mobile robot. His work on Competitive learning as part of general Artificial neural network research is frequently linked to Interface, bridging the gap between disciplines.

His most cited work include:

  • Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines (1033 citations)
  • Genetic and Evolutionary Computation - GECCO 2004 (887 citations)
  • Neuroevolution: from architectures to learning (626 citations)

What are the main themes of his work throughout his whole career to date?

Dario Floreano focuses on Artificial intelligence, Robot, Evolutionary robotics, Mobile robot and Simulation. The Artificial intelligence study combines topics in areas such as Machine learning and Computer vision. His Robot research includes themes of Control engineering, Swarm behaviour and Human–computer interaction.

His Evolutionary robotics study is concerned with Evolutionary algorithm in general. He combines subjects such as Evolutionary computation and Genetic algorithm with his study of Evolutionary algorithm. His Simulation research is multidisciplinary, relying on both Real-time computing and Drone.

He most often published in these fields:

  • Artificial intelligence (50.29%)
  • Robot (39.92%)
  • Evolutionary robotics (30.72%)

What were the highlights of his more recent work (between 2015-2021)?

  • Robot (39.92%)
  • Drone (8.41%)
  • Artificial intelligence (50.29%)

In recent papers he was focusing on the following fields of study:

Dario Floreano mostly deals with Robot, Drone, Artificial intelligence, Soft robotics and Computer vision. The concepts of his Robot study are interwoven with issues in Trajectory and Adaptive morphology. His Drone research includes elements of Swarm behaviour, Quadcopter, Simulation, Morphing and Teleoperation.

His work carried out in the field of Soft robotics brings together such families of science as Mechanical engineering, Dielectric elastomer actuator, Stiffness and Tensegrity. His work deals with themes such as Inertial frame of reference and Flocking, which intersect with Computer vision. Robotics and Evolutionary robotics are frequently intertwined in his study.

Between 2015 and 2021, his most popular works were:

  • Soft Robotic Grippers. (317 citations)
  • Versatile Soft Grippers with Intrinsic Electroadhesion Based on Multifunctional Polymer Actuators (299 citations)
  • Dynamic Routing for Flying Ad Hoc Networks (148 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Electrical engineering
  • Machine learning

His primary areas of investigation include Soft robotics, Robot, Drone, Artificial intelligence and Robotics. Dario Floreano is interested in Robot end effector, which is a branch of Robot. Dario Floreano interconnects Tripod, Computer vision and Climbing in the investigation of issues within Artificial intelligence.

The concepts of his Robotics study are interwoven with issues in State, Adaptive control, Systems engineering and Current. Dario Floreano merges Contraction with Evolutionary robotics in his study. While working in this field, Dario Floreano studies both Evolutionary robotics and Gait.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines

Stefano Nolfi;Dario Floreano.
(2004)

2487 Citations

The e-puck, a Robot Designed for Education in Engineering

Francesco Mondada;Michael Bonani;Xavier Raemy;James Pugh.
Proceedings of the 9th Conference on Autonomous Robot Systems and Competitions (2009)

906 Citations

Revealing strengths and weaknesses of methods for gene network inference

Daniel Marbach;Robert J. Prill;Thomas Schaffter;Claudio Mattiussi.
Proceedings of the National Academy of Sciences of the United States of America (2010)

722 Citations

Science, technology and the future of small autonomous drones

Dario Floreano;Robert J. Wood.
Nature (2015)

627 Citations

Evolution of homing navigation in a real mobile robot

D. Floreano;F. Mondada.
systems man and cybernetics (1996)

622 Citations

Neuroevolution: from architectures to learning

Dario Floreano;Peter Dürr;Claudio Mattiussi.
Evolutionary Intelligence (2008)

604 Citations

Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies

Dario Floreano;Claudio Mattiussi.
(2008)

589 Citations

Genetic and Evolutionary Computation - GECCO 2004

K. Deb;R. Poli;W. Banzhaf;H-G. Beyer.
(2004)

569 Citations

Automatic creation of an autonomous agent: genetic evolution of a neural-network driven robot

Dario Floreano;Francesco Mondada.
simulation of adaptive behavior (1994)

475 Citations

Swarm-Bot: A New Distributed Robotic Concept

Francesco Mondada;Giovanni C. Pettinaro;Andre Guignard;Ivo W. Kwee.
Autonomous Robots (2004)

445 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Dario Floreano

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