Marco Caccamo

Marco Caccamo

Technische Universität München

H-index: 50

Europe-Germany

About Marco Caccamo

Marco Caccamo, With an exceptional h-index of 50 and a recent h-index of 29 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Real-Time and Cyber-Physical Systems.

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

Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks

Strict Partitioning for Sporadic Rigid Gang Tasks

A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation

Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning

Learning to Generate All Feasible Actions

Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning

Secure-by-construction synthesis for control systems

6IMPOSE: Bridging the reality gap in 6D pose estimation for robotic grasping

Marco Caccamo Information

University

Position

Professor Department of Mechanical Engineering (TUM)

Citations(all)

8769

Citations(since 2020)

2990

Cited By

7119

hIndex(all)

50

hIndex(since 2020)

29

i10Index(all)

106

i10Index(since 2020)

67

Email

University Profile Page

Technische Universität München

Google Scholar

View Google Scholar Profile

Marco Caccamo Skills & Research Interests

Real-Time and Cyber-Physical Systems

Top articles of Marco Caccamo

Title

Journal

Author(s)

Publication Date

Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks

arXiv preprint arXiv:2402.18558

Benjamin David Evans

Raphael Trumpp

Marco Caccamo

Hendrik Willem Jordaan

Herman Arnold Engelbrecht

2024/2/28

Strict Partitioning for Sporadic Rigid Gang Tasks

arXiv preprint arXiv:2403.10726

Binqi Sun

Tomasz Kloda

Marco Caccamo

2024/3/15

A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation

arXiv preprint arXiv:2404.12683

Tobias Betz

Long Wen

Fengjunjie Pan

Gemb Kaljavesi

Alexander Zuepke

...

2024/4/19

Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning

IEEE Transactions on Computers

Binqi Sun

Mirco Theile

Ziyuan Qin

Daniele Bernardini

Debayan Roy

...

2024/1/5

Learning to Generate All Feasible Actions

IEEE Access

Mirco Theile

Daniele Bernardini

Raphael Trumpp

Cristina Piazza

Marco Caccamo

...

2024/3/13

Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning

arXiv preprint arXiv:2403.12856

Mirco Theile

Hongpeng Cao

Marco Caccamo

Alberto L Sangiovanni-Vincentelli

2024/3/19

Secure-by-construction synthesis for control systems

arXiv preprint arXiv:2307.02564

Bingzhuo Zhong

Siyuan Liu

Marco Caccamo

Majid Zamani

2023/7/5

6IMPOSE: Bridging the reality gap in 6D pose estimation for robotic grasping

Frontiers in Robotics and AI

Hongpeng Cao

Lukas Dirnberger

Daniele Bernardini

Cristina Piazza

Marco Caccamo

2023/9/27

Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks

arXiv preprint arXiv:2306.02029

Jichao Chen

Omid Esrafilian

Harald Bayerlein

David Gesbert

Marco Caccamo

2023/6/3

Schedulability Analysis of Non-preemptive Sporadic Gang Tasks on Hardware Accelerators

Binqi Sun

Tomasz Kloda

Jiyang Chen

Cen Lu

Marco Caccamo

2023/5/9

Towards Trustworthy AI: Sandboxing AI-Based Unverified Controllers for Safe and Secure Cyber-Physical Systems

Bingzhuo Zhong

Siyuan Liu

Marco Caccamo

Majid Zamani

2023/12/13

Schedguard++: Protecting against schedule leaks using linux containers on multi-core processors

ACM Transactions on Cyber-Physical Systems

Jiyang Chen

Tomasz Kloda

Rohan Tabish

Ayoosh Bansal

Chien-Ying Chen

...

2023/2/20

Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings

Marco Caccamo

Daniele Bernardini

2023/11/15

Minimizing cache usage for real-time systems

Binqi Sun

Tomasz Kloda

Sergio Arribas Garcia

Giovani Gracioli

Marco Caccamo

2023/6/7

Secure-by-construction controller synthesis via control barrier functions

IFAC-PapersOnLine

Bingzhuo Zhong

Siyuan Liu

Marco Caccamo

Majid Zamani

2023/1/1

Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings

Hongpeng Cao

Yanbing Mao

Lui Sha

Marco Caccamo

2023/10/13

Physical deep reinforcement learning: Safety and unknown unknowns

arXiv preprint arXiv:2305.16614

Hongpeng Cao

Yanbing Mao

Lui Sha

Marco Caccamo

2023/5/26

Formal Synthesis of Controllers for Uncertain Linear Systems Against -Regular Properties: A Set-Based Approach

IEEE Transactions on Automatic Control

Bingzhuo Zhong

Majid Zamani

Marco Caccamo

2023/4/14

Towards safe ai: Sandboxing dnns-based controllers in stochastic games

Proceedings of the AAAI Conference on Artificial Intelligence

Bingzhuo Zhong

Hongpeng Cao

Majid Zamani

Marco Caccamo

2023/6/26

Supporting single and multi-core resource access protocols on object-oriented RTOSes

Design Automation for Embedded Systems

Lucas Matheus dos Santos

Giovani Gracioli

Tomasz Kloda

Marco Caccamo

2023/6

See List of Professors in Marco Caccamo University(Technische Universität München)