Marco Caccamo

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 121

Top Venues

Publications

Binqi Sun, Tomasz Kloda, Marco Caccamo
Strict Partitioning for Sporadic Rigid Gang Tasks. RTAS (2024)
Bingzhuo Zhong, Majid Zamani, Marco Caccamo
Formal Synthesis of Controllers for Uncertain Linear Systems Against -Regular Properties: A Set-Based Approach. IEEE Trans. Autom. Control. 69 (1) (2024)
Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning. CoRR (2024)
Tobias Betz, Long Wen, Fengjunjie Pan, Gemb Kaljavesi, Alexander Zuepke, Andrea Bastoni, Marco Caccamo, Alois Knoll, Johannes Betz
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation. CoRR (2024)
Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini, Debayan Roy, Andrea Bastoni, Marco Caccamo
Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning. IEEE Trans. Computers 73 (4) (2024)
Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
Learning to Generate All Feasible Actions. IEEE Access 12 (2024)
Paul Griffioen, Bingzhuo Zhong, Murat Arcak, Majid Zamani, Marco Caccamo
Data-Driven Controlled Invariant Sets for Gaussian Process State Space Models. CoRR (2024)
Binqi Sun, Tomasz Kloda, Marco Caccamo
Strict Partitioning for Sporadic Rigid Gang Tasks. CoRR (2024)
Denis Hoornaert, Golsana Ghaemi, Andrea Bastoni, Renato Mancuso, Marco Caccamo, Giulio Corradi
Mcti: mixed-criticality task-based isolation. Real Time Syst. 60 (2) (2024)
Benjamin David Evans, Raphael Trumpp, Marco Caccamo, Hendrik Willem Jordaan, Herman Arnold Engelbrecht
Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks. CoRR (2024)
Binqi Sun, Tomasz Kloda, Marco Caccamo
Response Time Analysis for Fixed-Priority Preemptive Uniform Multiprocessor Systems. ECRTS (2024)
Marco Caccamo, Daniele Bernardini
Service Class Based Management Framework for Photovoltaic Self-Consumption. MECO (2024)
Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings. ICLR (2024)
Raphael Trumpp, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Marco Caccamo
RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning. CoRR (2024)
Marco Caccamo, Daniele Bernardini
Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings. BuildSys@SenSys (2023)
Bingzhuo Zhong, Siyuan Liu, Marco Caccamo, Majid Zamani
Towards Trustworthy AI: Sandboxing AI-Based Unverified Controllers for Safe and Secure Cyber-Physical Systems. CDC (2023)
Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
Physical Deep Reinforcement Learning: Safety and Unknown Unknowns. CoRR (2023)
Bingzhuo Zhong, Abolfazl Lavaei, Majid Zamani, Marco Caccamo
Automata-based controller synthesis for stochastic systems: A game framework via approximate probabilistic relations. Autom. 147 (2023)
Raphael Trumpp, Denis Hoornaert, Marco Caccamo
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars. IV (2023)
Binqi Sun, Tomasz Kloda, Sergio Arribas García, Giovani Gracioli, Marco Caccamo
Minimizing Cache Usage for Real-time Systems. RTNS (2023)
Binqi Sun, Debayan Roy, Tomasz Kloda, Andrea Bastoni, Rodolfo Pellizzoni, Marco Caccamo
Co-Optimizing Cache Partitioning and Multi-Core Task Scheduling: Exploit Cache Sensitivity or Not? RTSS (2023)
Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo
Model-Aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks. GLOBECOM (Workshops) (2023)
Rohan Tabish, Rodolfo Pellizzoni, Renato Mancuso, Giovani Gracioli, Reza Mirosanlou, Marco Caccamo
X-Stream: Accelerating streaming segments on MPSoCs for real-time applications. J. Syst. Archit. 138 (2023)
Tomasz Kloda, Giovani Gracioli, Rohan Tabish, Reza Mirosanlou, Renato Mancuso, Rodolfo Pellizzoni, Marco Caccamo
Lazy Load Scheduling for Mixed-criticality Applications in Heterogeneous MPSoCs. ACM Trans. Embed. Comput. Syst. 22 (3) (2023)
Binqi Sun, Debayan Roy, Tomasz Kloda, Andrea Bastoni, Rodolfo Pellizzoni, Marco Caccamo
Co-Optimizing Cache Partitioning and Multi-Core Task Scheduling: Exploit Cache Sensitivity or Not? CoRR (2023)
Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo
6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping. Frontiers Robotics AI 10 (2023)
Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo
Efficient Learning of Urban Driving Policies Using Bird'View State Representations. ITSC (2023)
Lucas Matheus dos Santos, Giovani Gracioli, Tomasz Kloda, Marco Caccamo
Supporting single and multi-core resource access protocols on object-oriented RTOSes. Des. Autom. Embed. Syst. 27 (1-2) (2023)
Mirco Theile, Harald Bayerlein, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning. CoRR (2023)
Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo
Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations. CoRR (2023)
Bingzhuo Zhong, Siyuan Liu, Marco Caccamo, Majid Zamani
Secure-by-Construction Synthesis for Control Systems. CoRR (2023)
Junjie Ming, Daniel Bargmann, Hongpeng Cao, Marco Caccamo
Flexible Gear Assembly With Visual Servoing and Force Feedback. CoRR (2023)
Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks. CoRR (2023)
Binqi Sun, Tomasz Kloda, Jiyang Chen, Cen Lu, Marco Caccamo
Schedulability Analysis of Non-preemptive Sporadic Gang Tasks on Hardware Accelerators. RTAS (2023)
Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
Physical Deep Reinforcement Learning Towards Safety Guarantee. CoRR (2023)
Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
Learning to Generate All Feasible Actions. CoRR (2023)
Sergio Arribas García, Giovani Gracioli, Denis Hoornaert, Tomasz Kloda, Marco Caccamo
Improving the Execution Time of Industrial Applications through Planned Cache Eviction Policy Selection. ISIE (2023)
Alexander Zuepke, Andrea Bastoni, Weifan Chen, Marco Caccamo, Renato Mancuso
MemPol: Policing Core Memory Bandwidth from Outside of the Cores. RTAS (2023)
Bingzhuo Zhong, Hongpeng Cao, Majid Zamani, Marco Caccamo
Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games. AAAI (2023)
Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini, Debayan Roy, Andrea Bastoni, Marco Caccamo
Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning. CoRR (2023)
Raphael Trumpp, Denis Hoornaert, Marco Caccamo
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars. CoRR (2023)
Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
Physics-Model-Regulated Deep Reinforcement Learning Towards Safety & Stability Guarantees. CDC (2023)
Jiyang Chen, Tomasz Kloda, Rohan Tabish, Ayoosh Bansal, Chien-Ying Chen, Bo Liu, Sibin Mohan, Marco Caccamo, Lui Sha
SchedGuard++: Protecting against Schedule Leaks Using Linux Containers on Multi-Core Processors. ACM Trans. Cyber Phys. Syst. 7 (1) (2023)
Junjie Ming, Daniel Bargmann, Hongpeng Cao, Marco Caccamo
Flexible Gear Assembly with Visual Servoing and Force Feedback. IROS (2023)
Zhishen Zhang, Yuwen Shen, Binqi Sun, Tomasz Kloda, Marco Caccamo
Memory allocation for low-power real-time embedded microcontroller: a case study. ETFA (2022)
Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. CoRR (2022)
Ameneh Nejati, Bingzhuo Zhong, Marco Caccamo, Majid Zamani
Data-Driven Controller Synthesis of Unknown Nonlinear Polynomial Systems via Control Barrier Certificates. L4DC (2022)
Tomasz Kloda, Jiyang Chen, Antoine Bertout, Lui Sha, Marco Caccamo
Latency analysis of self-suspending task chains. DATE (2022)
Bingzhuo Zhong, Majid Zamani, Marco Caccamo
Synthesizing Safety Controllers for Uncertain Linear Systems: A Direct Data-driven Approach. CoRR (2022)
Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha
Verifiable Obstacle Detection. ISSRE (2022)
Bingzhuo Zhong, Hongpeng Cao, Majid Zamani, Marco Caccamo
Sandboxing (AI-based) Unverified Controllers in Stochastic Games: An Abstraction-based Approach with Safe-visor Architecture. CoRR (2022)
Ayoosh Bansal, Simon Yu, Hunmin Kim, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha
Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles. CoRR (2022)
Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha
Verifiable Obstacle Detection. CoRR (2022)
Hongpeng Cao, Mirco Theile, Federico G. Wyrwal, Marco Caccamo
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning. IROS (2022)
Jayati Singh, Ignacio Sañudo Olmedo, Nicola Capodieci, Andrea Marongiu, Marco Caccamo
Reconciling QoS and Concurrency in NVIDIA GPUs via Warp-Level Scheduling. DATE (2022)
Bingzhuo Zhong, Majid Zamani, Marco Caccamo
Synthesizing Safety Controllers for Uncertain Linear Systems: A Direct Data-driven Approach. CCTA (2022)
Bingzhuo Zhong, Abolfazl Lavaei, Majid Zamani, Marco Caccamo
Poster Abstract: Controller Synthesis for Nonlinear Stochastic Games via Approximate Probabilistic Relations. HSCC (2022)
Bingzhuo Zhong, Majid Zamani, Marco Caccamo
A Set-based Approach for Synthesizing Controllers Enforcing ω-Regular Properties over Uncertain Linear Control Systems. ACC (2022)
Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo
Learning 6D Pose Estimation from Synthetic RGBD Images for Robotic Applications. CoRR (2022)
Bruna Arruda Araujo, Giovani Gracioli, Tomasz Kloda, Denis Hoornaert, Marco Caccamo
Implementation and Evaluation of Adaptive Cache Insertion Policies for Real-Time Systems. SBESC (2021)
Jiyang Chen, Tomasz Kloda, Ayoosh Bansal, Rohan Tabish, Chien-Ying Chen, Bo Liu, Sibin Mohan, Marco Caccamo, Lui Sha
SchedGuard: Protecting against Schedule Leaks Using Linux Containers. CoRR (2021)
Gero Schwäricke, Rohan Tabish, Rodolfo Pellizzoni, Renato Mancuso, Andrea Bastoni, Alexander Zuepke, Marco Caccamo
A Real-Time Virtio-Based Framework for Predictable Inter-VM Communication. RTSS (2021)
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning. IEEE Open J. Commun. Soc. 2 (2021)
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. ICAR (2021)
Bingzhuo Zhong, Majid Zamani, Marco Caccamo
Formal Synthesis of Controllers for Uncertain Linear Systems against ω-Regular Properties: A Set-based Approach. CoRR (2021)
Mirco Theile, Jonathan Ponniah, Or D. Dantsker, Marco Caccamo
Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering. CoRR (2021)
Debayan Roy, Clara Hobbs, James H. Anderson, Marco Caccamo, Samarjit Chakraborty
Timing Debugging for Cyber-Physical Systems. DATE (2021)
Denis Hoornaert, Shahin Roozkhosh, Renato Mancuso, Marco Caccamo
Work in Progress: Identifying Unexpected Inter-core Interference Induced by Shared Cache. RTAS (2021)
Ohchul Kwon, Gero Schwäricke, Tomasz Kloda, Denis Hoornaert, Giovani Gracioli, Marco Caccamo
Flexible Cache Partitioning for Multi-Mode Real-Time Systems. DATE (2021)
Abolfazl Lavaei, Bingzhuo Zhong, Marco Caccamo, Majid Zamani
Towards trustworthy AI: safe-visor architecture for uncertified controllers in stochastic cyber-physical systems. CAADCPS@CPSIoTWeek (2021)
Bingzhuo Zhong, Abolfazl Lavaei, Hongpeng Cao, Majid Zamani, Marco Caccamo
Safe-visor Architecture for Sandboxing (AI-based) Unverified Controllers in Stochastic Cyber-Physical Systems. CoRR (2021)
Bingzhuo Zhong, Abolfazl Lavaei, Majid Zamani, Marco Caccamo
Automata-based Controller Synthesis for Stochastic Systems: A Game Framework via Approximate Probabilistic Relations. CoRR (2021)
Jiyang Chen, Tomasz Kloda, Ayoosh Bansal, Rohan Tabish, Chien-Ying Chen, Bo Liu, Sibin Mohan, Marco Caccamo, Lui Sha
SchedGuard: Protecting against Schedule Leaks Using Linux Containers. RTAS (2021)
Bingzhuo Zhong, Majid Zamani, Marco Caccamo
Sandboxing Controllers for Stochastic Cyber-Physical Systems. CoRR (2021)
Ayoosh Bansal, Jayati Singh, Micaela Verucchi, Marco Caccamo, Lui Sha
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles. MECO (2021)
Ayoosh Bansal, Jayati Singh, Micaela Verucchi, Marco Caccamo, Lui Sha
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles. CoRR (2021)
Rohan Tabish, Jen-Yang Wen, Rodolfo Pellizzoni, Renato Mancuso, Heechul Yun, Marco Caccamo, Lui Raymond Sha
An Analyzable Inter-core Communication Framework for High-Performance Multicore Embedded Systems. J. Syst. Archit. 118 (2021)
Rohan Tabish, Jen-Yang Wen, Rodolfo Pellizzoni, Renato Mancuso, Heechul Yun, Marco Caccamo, Lui Sha
SCE-Comm: A Real-Time Inter-Core Communication Framework for Strictly Partitioned Multi-core Processors. MECO (2020)
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. GLOBECOM (2020)
Micaela Verucchi, Mirco Theile, Marco Caccamo, Marko Bertogna
Latency-Aware Generation of Single-Rate DAGs from Multi-Rate Task Sets. RTAS (2020)
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning. CoRR (2020)
Gero Schwäricke, Tomasz Kloda, Giovani Gracioli, Marko Bertogna, Marco Caccamo
Fixed-Priority Memory-Centric Scheduler for COTS-Based Multiprocessors. ECRTS (2020)
Ayoosh Bansal, Jayati Singh, Yifan Hao, Jen-Yang Wen, Renato Mancuso, Marco Caccamo
Reconciling Predictability and Coherent Caching. MECO (2020)
Lucas Matheus dos Santos, Giovani Gracioli, Tomasz Kloda, Marco Caccamo
On the Design and Implementation of Real-Time Resource Access Protocols. SBESC (2020)
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. CoRR (2020)
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. CoRR (2020)
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. CoRR (2020)
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. IROS (2020)
Debayan Roy, Sumana Ghosh, Qi Zhu, Marco Caccamo, Samarjit Chakraborty
GoodSpread: Criticality-Aware Static Scheduling of CPS with Multi-QoS Resources. RTSS (2020)
Pushpak Jagtap, Fardin Abdi, Matthias Rungger, Majid Zamani, Marco Caccamo
Software Fault Tolerance for Cyber-Physical Systems via Full System Restart. ACM Trans. Cyber Phys. Syst. 4 (4) (2020)
Giovani Gracioli, Rohan Tabish, Renato Mancuso, Reza Mirosanlou, Rodolfo Pellizzoni, Marco Caccamo
Designing Mixed Criticality Applications on Modern Heterogeneous MPSoC Platforms. ECRTS (2019)
Rohan Tabish, Renato Mancuso, Saud Wasly, Rodolfo Pellizzoni, Marco Caccamo
A real-time scratchpad-centric OS with predictable inter/intra-core communication for multi-core embedded systems. Real Time Syst. 55 (4) (2019)
Mirco Theile, Simon Yu, Or D. Dantsker, Marco Caccamo
Trajectory Estimation for Geo-Fencing Applications on Small-Size Fixed-Wing UAVs. IROS (2019)
Bingzhuo Zhong, Majid Zamani, Marco Caccamo
Sandboxing Controllers for Stochastic Cyber-Physical Systems. FORMATS (2019)
Fardin Abdi, Chien-Ying Chen, Monowar Hasan, Songran Liu, Sibin Mohan, Marco Caccamo
Preserving Physical Safety Under Cyber Attacks. IEEE Internet Things J. 6 (4) (2019)
Ayoosh Bansal, Jayati Singh, Yifan Hao, Jen-Yang Wen, Renato Mancuso, Marco Caccamo
Cache Where you Want! Reconciling Predictability and Coherent Caching. CoRR (2019)
Muhammad R. Soliman, Giovani Gracioli, Rohan Tabish, Rodolfo Pellizzoni, Marco Caccamo
Segment Streaming for the Three-Phase Execution Model: Design and Implementation. RTSS (2019)
Pushpak Jagtap, Fardin Abdi, Matthias Rungger, Majid Zamani, Marco Caccamo
Software Fault Tolerance for Cyber-Physical Systems via Full System Restart. CoRR (2018)
Fardin Abdi, Chien-Ying Chen, Monowar Hasan, Songran Liu, Sibin Mohan, Marco Caccamo
Guaranteed physical security with restart-based design for cyber-physical systems. ICCPS (2018)
Mirco Theile, Or D. Dantsker, Richard Nai, Marco Caccamo
uavEE: A Modular, Power-Aware Emulation Environment for Rapid Prototyping and Testing of UAVs. RTCSA (2018)

Marco Caccamo.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Marco Caccamo