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Computer Science

D-Index
63
Citations
13588
World Ranking
2791
National Ranking
1379

Overview

Juan Nieto is a researcher affiliated with Microsoft in the United States, with a primary focus on fields such as Engineering and Computer Science. Their body of work encompasses various subfields including Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence, and Biomedical Engineering.

Their research topics cover a broad spectrum related to robotics, sensor technologies, and machine learning, with an emphasis on areas such as:

  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Robot Manipulation and Learning
  • UAV Applications and Optimization
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Indoor and Outdoor Localization Technologies

Juan Nieto has contributed to numerous publications in notable scientific venues. Frequent publication outlets include:

  • IEEE Robotics and Automation Letters
  • arXiv (Cornell University)
  • IEEE Robotics & Automation Magazine
  • Journal of Field Robotics
  • Repository for Publications and Research Data (ETH Zurich)

Several recent papers illustrate the scope of their research, such as:

  • "An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments" (2020) in IEEE Robotics and Automation Letters
  • "An informative path planning framework for UAV-based terrain monitoring" (2020) in Autonomous Robots
  • "The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation" (2021) in International Journal of Computer Vision
  • "Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution" (2020) in IEEE Robotics & Automation Magazine
  • "CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge" (2022) in Field Robotics

Their collaborative work involves multiple frequent co-authors, including:

  • Roland Siegwart
  • Lionel Ott
  • César Cadena
  • Jen Jen Chung
  • Michael Pantic

Best Publications

  • Consistency of the EKF-SLAM Algorithm

    T. Bailey;J. Nieto;J. Guivant;M. Stevens

  • Voxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MAV planning

    Helen Oleynikova;Zachary Taylor;Marius Fehr;Roland Siegwart

  • From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots

    Mark Pfeiffer;Michael Schaeuble;Juan Nieto;Roland Siegwart

  • Voxblox: Incremental 3D Euclidean Signed Distance Fields for On-Board MAV Planning

    Helen Oleynikova;Zachary Taylor;Marius Fehr;Juan Nieto

  • Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery

    Margarita Grinvald;Fadri Furrer;Tonci Novkovic;Jen Jen Chung

  • weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming

    Inkyu Sa;Zetao Chen;Marija Popovic;Raghav Khanna

  • Consistency of the FastSLAM algorithm

    T. Bailey;J. Nieto;E. Nebot

  • SegMatch: Segment based place recognition in 3D point clouds

    Renaud Dube;Daniel Dugas;Elena Stumm;Juan Nieto

  • WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming

    Inkyu Sa;Marija Popovic;Raghav Khanna;Zetao Chen

  • An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments

    Lukas Schmid;Michael Pantic;Raghav Khanna;Lionel Ott

  • Approximate Inference in State-Space Models With Heavy-Tailed Noise

    G. Agamennoni;J. I. Nieto;E. M. Nebot

  • SegMatch: Segment based loop-closure for 3D point clouds.

    Renaud Dubé;Daniel Dugas;Elena Stumm;Juan I. Nieto

  • SegMap: Segment-based mapping and localization using data-driven descriptors:

    Renaud Dubé;Andrei Cramariuc;Daniel Dugas;Hannes Sommer

  • Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations

    Mark Pfeiffer;Samarth Shukla;Matteo Turchetta;Cesar Cadena

  • Real time data association for FastSLAM

    J. Nieto;J. Guivant;E. Nebot;S. Thrun

  • SegMap: 3D Segment Mapping using Data-Driven Descriptors

    Renaud Dubé;Andrei Cramariuc;Daniel Dugas;Juan I. Nieto

  • Continuous-time trajectory optimization for online UAV replanning

    Helen Oleynikova;Michael Burri;Zachary Taylor;Juan Nieto

  • An outlier-robust Kalman filter

    Gabriel Agamennoni;Juan I. Nieto;Eduardo M. Nebot

  • Recursive scan-matching SLAM

    Juan Nieto;Tim Bailey;Eduardo Nebot

  • X-View: Graph-Based Semantic Multi-View Localization

    Abel Gawel;Carlo Del Don;Roland Siegwart;Juan I. Nieto

  • FastSLAM: An Efficient Solution to the Simultaneous Localization And Mapping Problem with Unknown Data

    Sebastian Thrun;Michael Montemerlo;Daphne Koller;Ben Wegbreit

  • Navigation and Mapping in Large Unstructured Environments

    José E. Guivant;Eduardo Mario Nebot;Juan I. Nieto;Favio R. Masson

  • Robust Inference of Principal Road Paths for Intelligent Transportation Systems

    G Agamennoni;J I Nieto;E M Nebot

Frequent Co-Authors

Cesar Cadena
Cesar Cadena ETH Zurich
Eduardo Nebot
Eduardo Nebot University of Sydney
James Underwood
James Underwood University of Sydney
Salah Sukkarieh
Salah Sukkarieh University of Sydney
Cyrill Stachniss
Cyrill Stachniss University of Bonn
Achim Walter
Achim Walter ETH Zurich
Fabio Ramos
Fabio Ramos University of Sydney
Daniele Nardi
Daniele Nardi Sapienza University of Rome
Paul Beardsley
Paul Beardsley Weta Digital

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