Davide Scaramuzza

Davide Scaramuzza

Universität Zürich

H-index: 108

Europe-Switzerland

About Davide Scaramuzza

Davide Scaramuzza, With an exceptional h-index of 108 and a recent h-index of 96 (since 2020), a distinguished researcher at Universität Zürich, specializes in the field of Robotics, Robot Vision, Micro Air Vehicles, SLAM, Robot Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

AERIAL-CORE: AI-Powered Aerial Robots for Inspection and Maintenance of Electrical Power Infrastructures

Time-Optimal Flight with Safety Constraints and Data-driven Dynamics

Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight

Learning Quadruped Locomotion Using Differentiable Simulation

State Space Models for Event Cameras

Contrastive Initial State Buffer for Reinforcement Learning

Robotics meets Fluid Dynamics: A Characterization of the Induced Airflow around a Quadrotor

Hilti SLAM Challenge 2023: Benchmarking Single+ Multi-session SLAM across Sensor Constellations in Construction

Davide Scaramuzza Information

University

Position

Professor of Robotics and Perception

Citations(all)

48622

Citations(since 2020)

33911

Cited By

25774

hIndex(all)

108

hIndex(since 2020)

96

i10Index(all)

231

i10Index(since 2020)

216

Email

University Profile Page

Universität Zürich

Google Scholar

View Google Scholar Profile

Davide Scaramuzza Skills & Research Interests

Robotics

Robot Vision

Micro Air Vehicles

SLAM

Robot Learning

Top articles of Davide Scaramuzza

Title

Journal

Author(s)

Publication Date

AERIAL-CORE: AI-Powered Aerial Robots for Inspection and Maintenance of Electrical Power Infrastructures

arXiv preprint arXiv:2401.02343

Anibal Ollero

Alejandro Suarez

Christos Papaioannidis

Ioannis Pitas

Juan M Marredo

...

2024/1/4

Time-Optimal Flight with Safety Constraints and Data-driven Dynamics

arXiv preprint arXiv:2403.17551

Maria Krinner

Angel Romero

Leonard Bauersfeld

Melanie Zeilinger

Andrea Carron

...

2024/3/26

Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight

Jiaxu Xing

Leonard Bauersfeld

Yunlong Song

Chunwei Xing

Davide Scaramuzza

2024/1/1

Learning Quadruped Locomotion Using Differentiable Simulation

arXiv preprint arXiv:2403.14864

Yunlong Song

Sangbae Kim

Davide Scaramuzza

2024/3/21

State Space Models for Event Cameras

arXiv preprint arXiv:2402.15584

Nikola Zubić

Mathias Gehrig

Davide Scaramuzza

2024/2/23

Contrastive Initial State Buffer for Reinforcement Learning

Nico Messikommer

Yunlong Song

Davide Scaramuzza

2024/1/1

Robotics meets Fluid Dynamics: A Characterization of the Induced Airflow around a Quadrotor

arXiv preprint arXiv:2403.13321

Leonard Bauersfeld

Koen Muller

Dominic Ziegler

Filippo Coletti

Davide Scaramuzza

2024/3/20

Hilti SLAM Challenge 2023: Benchmarking Single+ Multi-session SLAM across Sensor Constellations in Construction

arXiv preprint arXiv:2404.09765

Ashish Devadas Nair

Julien Kindle

Plamen Levchev

Davide Scaramuzza

2024/4/15

Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight

arXiv preprint arXiv:2403.12203

Jiaxu Xing

Angel Romero

Leonard Bauersfeld

Davide Scaramuzza

2024/3/18

An N-Point Linear Solver for Line and Motion Estimation with Event Cameras

arXiv preprint arXiv:2404.00842

Ling Gao

Daniel Gehrig

Hang Su

Davide Scaramuzza

Laurent Kneip

2024/4/1

Actor-Critic Model Predictive Control

Angel Romero

Yunlong Song

Davide Scaramuzza

2024/1/1

Dense Continuous-Time Optical Flow from Event Cameras

IEEE Transactions on Pattern Analysis and Machine Intelligence

Mathias Gehrig

Manasi Muglikar

Davide Scaramuzza

2024/2/2

Mitigating Motion Blur in Neural Radiance Fields with Events and Frames

arXiv preprint arXiv:2403.19780

Marco Cannici

Davide Scaramuzza

2024/3/28

Revisiting Token Pruning for Object Detection and Instance Segmentation

Yifei Liu

Mathias Gehrig

Nico Messikommer

Marco Cannici

Davide Scaramuzza

2024

Autonomous Power Line Inspection with Drones via Perception-Aware MPC

Jiaxu Xing

Giovanni Cioffi

Javier Hidalgo-Carrió

Davide Scaramuzza

2023/4/3

Cracking double-blind review: Authorship attribution with deep learning

Plos one

Leonard Bauersfeld

Angel Romero

Manasi Muglikar

Davide Scaramuzza

2023/6/30

Learning to Walk and Fly with Adversarial Motion Priors

arXiv preprint arXiv:2309.12784

Giuseppe L'Erario

Drew Hanover

Angel Romero

Yunlong Song

Gabriele Nava

...

2023/9/22

Neuromorphic Optical Flow and Real-time Implementation with Event Cameras

Yannick Schnider

Stanisław Woźniak

Mathias Gehrig

Jules Lecomte

Axel von Arnim

...

2023

COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation

Charith Munasinghe

Fatemeh Mohammadi Amin

Davide Scaramuzza

Hans Wernher van de Venn

2023/2/24

Learning Perception-Aware Agile Flight in Cluttered Environments

Yunlong Song

Kexin Shi

Robert Penicka

Davide Scaramuzza

2023/3/30

See List of Professors in Davide Scaramuzza University(Universität Zürich)

Co-Authors

H-index: 50
Luca Carlone

Luca Carlone

Massachusetts Institute of Technology

H-index: 41
Friedrich Fraundorfer

Friedrich Fraundorfer

Technische Universität Graz

H-index: 32
Guillermo Gallego

Guillermo Gallego

Technische Universität Berlin

H-index: 30
Stephan Weiss

Stephan Weiss

Alpen-Adria-Universität Klagenfurt

H-index: 21
Elias Mueggler

Elias Mueggler

Universität Zürich

H-index: 20
Antonio Loquercio

Antonio Loquercio

Universität Zürich

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