2026 Roland Siegwart: Mechanical and Aerospace Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mechanical and Aerospace Engineering	134	8	7	1	1	1100	81881
Electronics and Electrical Engineering	136	31	31	1	1	1111	83716

Research.com Recognitions

2026 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
2026 - Research.com Mechanical and Aerospace Engineering in Switzerland Leader Award
2025 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
2025 - Research.com Mechanical and Aerospace Engineering in Switzerland Leader Award
2022 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
2022 - Research.com Mechanical and Aerospace Engineering in Switzerland Leader Award
2008 - IEEE Fellow For contributions to mobile, networked, and micro-scale robots

Overview

Roland Siegwart is affiliated with ETH Zurich in Switzerland and has a substantial body of research primarily spanning the fields of engineering and computer science. Their work covers multiple subfields including computer vision and pattern recognition, aerospace engineering, control and systems engineering, artificial intelligence, and biomedical engineering.

The research topics explored by Siegwart encompass robotics and sensor-based localization, robotic path planning algorithms, robot manipulation and learning, advanced neural network applications, advanced vision and imaging, advanced image and video retrieval techniques, and robotic locomotion and control.

Among their recent published papers are:

An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments (2020), published in IEEE Robotics and Automation Letters
CERBERUS in the DARPA Subterranean Challenge (2022), published in Science Robotics
An informative path planning framework for UAV-based terrain monitoring (2020), published in Autonomous Robots
LQR-Assisted Whole-Body Control of a Wheeled Bipedal Robot With Kinematic Loops (2020), published in IEEE Robotics and Automation Letters
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation (2021), published in International Journal of Computer Vision

Siegwart has collaborated frequently with several researchers, including César Cadena, Lionel Ott, Jen Jen Chung, Hermann Blum, and Juan Nieto, reflecting a collaborative approach within the robotics and automation research community.

Their work has been published extensively across a range of venues, with notable frequency in arXiv (Cornell University), IEEE Robotics and Automation Letters, Zenodo (CERN European Organization for Nuclear Research), the 2022 International Conference on Robotics and Automation (ICRA), and IEEE Transactions on Robotics.

Recognition for their contributions includes being named an IEEE Fellow in 2008, acknowledging their work related to mobile, networked, and micro-scale robots.

Best Publications

BRISK: Binary Robust invariant scalable keypoints

Stefan Leutenegger;Margarita Chli;Roland Y. Siegwart

4882
Citations
Introduction to Autonomous Mobile Robots

Roland Siegwart;Illah R. Nourbakhsh;Davide Scaramuzza

4727
Citations
Keyframe-based visual-inertial odometry using nonlinear optimization

Stefan Leutenegger;Simon Lynen;Michael Bosse;Roland Siegwart

2018
Citations
The EuRoC micro aerial vehicle datasets

Michael Burri;Janosch Nikolic;Pascal Gohl;Thomas Schneider

1984
Citations
PID vs LQ control techniques applied to an indoor micro quadrotor

S. Bouabdallah;A. Noth;R. Siegwart

1914
Citations
Backstepping and Sliding-mode Techniques Applied to an Indoor Micro Quadrotor

S. Bouabdallah;R. Siegwart

1536
Citations
Design and control of an indoor micro quadrotor

S. Bouabdallah;P. Murrieri;R. Siegwart

1212
Citations
Full control of a quadrotor

S. Bouabdallah;R. Siegwart

1118
Citations
Comparing ICP variants on real-world data sets

François Pomerleau;Francis Colas;Roland Siegwart;Stéphane Magnenat

885
Citations
Unified temporal and spatial calibration for multi-sensor systems

Paul Furgale;Joern Rehder;Roland Siegwart

833
Citations
From Coarse to Fine: Robust Hierarchical Localization at Large Scale

Paul-Edouard Sarlin;Cesar Cadena;Roland Siegwart;Marcin Dymczyk

772
Citations
A Toolbox for Easily Calibrating Omnidirectional Cameras

Davide Scaramuzza;Agostino Martinelli;Roland Siegwart

747
Citations
A Review of Point Cloud Registration Algorithms for Mobile Robotics

François Pomerleau;Francis Colas;Roland Siegwart

731
Citations
A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation

Laurent Kneip;Davide Scaramuzza;Roland Siegwart

689
Citations
A robust and modular multi-sensor fusion approach applied to MAV navigation

Simon Lynen;Markus W. Achtelik;Stephan Weiss;Margarita Chli

647
Citations
Robust visual inertial odometry using a direct EKF-based approach

Michael Bloesch;Sammy Omari;Marco Hutter;Roland Siegwart

635
Citations
Social Integration of Robots into Groups of Cockroaches to Control Self-Organized Choices

José Halloy;Grégory Sempo;Gilles Caprari;Colette Rivault

620
Citations
Receding horizon “next-best-view” planner for 3D exploration

Andreas Bircher;Mina Kamel;Kostas Alexis;Helen Oleynikova

619
Citations
Control of a Quadrotor With Reinforcement Learning

Jemin Hwangbo;Inkyu Sa;Roland Siegwart;Marco Hutter

607
Citations
A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion

D. Scaramuzza;A. Martinelli;R. Siegwart

601
Citations
Vision based MAV navigation in unknown and unstructured environments

Michael Blosch;Stephan Weiss;Davide Scaramuzza;Roland Siegwart

570
Citations
Robot learning from demonstration

Aude Billard;Roland Siegwart

117
Citations

Frequent Co-Authors

Juan Nieto Microsoft (United States)

Cesar Cadena ETH Zurich

Marco Hutter ETH Zurich

Davide Scaramuzza University of Zurich

Kai O. Arras Robert Bosch (Germany)

Kostas Alexis Norwegian University of Science and Technology

Paul Beardsley Weta Digital

Paul Furgale ETH Zurich

Javier Alonso-Mora Delft University of Technology

C. David Remy University of Stuttgart

External Links

Wikipedia of Roland Siegwart Personal website of Roland Siegwart Google Scholar page

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