Johannes Betz, Hongrui Zheng, Alexander Liniger, Ugo Rosolia, Phillip Karle, Madhur Behl, Venkat Krovi, Rahul Mangharam
arXiv Preprint
March 2022
https://arxiv.org/abs/2202.07008









Johannes Betz, Hongrui Zheng, Alexander Liniger, Ugo Rosolia, Phillip Karle, Madhur Behl, Venkat Krovi, Rahul Mangharam
arXiv Preprint
March 2022








Benjamin David Evans, Johannes Betz, Hongrui Zheng, Herman A. Engelbrecht, Rahul Mangharam, and Hendrik W. Jordaan
In 21st International Conference on Advanced Robotics (ICAR) 2023
February 2024
https://ieeexplore.ieee.org/document/10406465









Benjamin David Evans, Johannes Betz, Hongrui Zheng, Herman A. Engelbrecht, Rahul Mangharam, and Hendrik W. Jordaan
In 21st International Conference on Advanced Robotics (ICAR) 2023
February 2024








Benjamin David Evans, Hendrik Willem Jordaan, Herman Arnold Engelbrecht
arXiv preprint
January 2024
https://doi.org/10.48550/arXiv.2401.17732









Benjamin David Evans, Hendrik Willem Jordaan, Herman Arnold Engelbrecht
arXiv preprint
January 2024








Tian Yi Lim, Edoardo Ghignone, Nicolaa Baumann and Michele Magno
In IEEE Design, Automation and Test in Europe Conference, Valencia 2024
January 2024









Tian Yi Lim, Edoardo Ghignone, Nicolaa Baumann and Michele Magno
In IEEE Design, Automation and Test in Europe Conference, Valencia 2024
January 2024








Ajinkya Joglekar, Sarang Sutavani, Chinmay Vilas Samak, Tanmay Vilas Samak, Krishna Chaitanya Kosaraju, Jonathon Smereka, David Gorsich, Umesh Vaidya and Venkat Krovi
In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
December 2023









Ajinkya Joglekar, Sarang Sutavani, Chinmay Vilas Samak, Tanmay Vilas Samak, Krishna Chaitanya Kosaraju, Jonathon Smereka, David Gorsich, Umesh Vaidya and Venkat Krovi
In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
December 2023








Yashom Dighe, Youngjin Kim, Smit Rajguru, Yash Turkar, Tarunraj Singh and Karthik Dantu
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023
December 2023









Yashom Dighe, Youngjin Kim, Smit Rajguru, Yash Turkar, Tarunraj Singh and Karthik Dantu
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023
December 2023








Kohei Honda, Naoki Akai, Kosuke Suzuki, Mizuho Aoki, Hirotaka Hosogaya, Hiroyuki Okuda and Tatsuya Suzuki
In IEEE International Conference on Robotics and Automation
September 2023



Kohei Honda, Naoki Akai, Kosuke Suzuki, Mizuho Aoki, Hirotaka Hosogaya, Hiroyuki Okuda and Tatsuya Suzuki
In IEEE International Conference on Robotics and Automation
September 2023

Michael Loetscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco and Michele Magno
In IEEE 9th World Forum on Internet of Things, Aveiro 2023
September 2023









Michael Loetscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco and Michele Magno
In IEEE 9th World Forum on Internet of Things, Aveiro 2023
September 2023








Benjamin David Evans, Hendrik Willem Jordaan and Herman Arnold Engelbrecht
In Machine Learning with Applications 14 (2023)
September 2023



Benjamin David Evans, Hendrik Willem Jordaan and Herman Arnold Engelbrecht
In Machine Learning with Applications 14 (2023)
September 2023

Filippo Muzzini, Nicola Capodieci, Federico Ramanzin, Paolo Burgio
In IEEE Letters
September 2023
https://cloud.hipert.unimore.it/s/FmCxWwG6ETaECTP



Filippo Muzzini, Nicola Capodieci, Federico Ramanzin, Paolo Burgio
In IEEE Letters
September 2023

Tanmay Vilas Samak, Chinmay Vilas Samak and Venkat Krovi
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023
September 2023
https://arxiv.org/abs/2309.10007



Tanmay Vilas Samak, Chinmay Vilas Samak and Venkat Krovi
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023
September 2023

Benjamin David Evans, Herman Arnold Engelbrecht and Hendrik Willem Jordaan
In IEEE Robotics and Automation Letters
July 2023



Benjamin David Evans, Herman Arnold Engelbrecht and Hendrik Willem Jordaan
In IEEE Robotics and Automation Letters
July 2023

Jonathan Becker, Nadine Imholz, Luca Schwarzenbach Edoardo Ghignone, Nicolas Baumann and Michele Magno
In IEEE International Conference on Robotics and Automation (ICRA), London 2023
July 2023



Jonathan Becker, Nadine Imholz, Luca Schwarzenbach Edoardo Ghignone, Nicolas Baumann and Michele Magno
In IEEE International Conference on Robotics and Automation (ICRA), London 2023
July 2023

Andrea Ronco, Nicolas Baumann, Marco Giordano and Michele Magno
In 9th International Workshop on Advances in Sensors and Interfaces (IWASI) 2023
July 2023









Andrea Ronco, Nicolas Baumann, Marco Giordano and Michele Magno
In 9th International Workshop on Advances in Sensors and Interfaces (IWASI) 2023
July 2023








Benjamin D. Evans, Hendrik W. Jordaan and Herman A. Engelbrecht
In Cognitive Robotics 3 (2023)
April 2023



Benjamin D. Evans, Hendrik W. Jordaan and Herman A. Engelbrecht
In Cognitive Robotics 3 (2023)
April 2023

Edoardo Ghignone, Nicolas Baumann and Michele Magno
Journal article in Field Robotics
April 2023



Edoardo Ghignone, Nicolas Baumann and Michele Magno
Journal article in Field Robotics
April 2023

Andrea Bernardi, Gianluca Brilli, Alessandro Capotondi, Andrea Marongiu, Paolo Burgio
In Design, Automation and Testing in Europe, 2022
March 2022
https://cloud.hipert.unimore.it/s/ziWGnF6WQSAnzkR



Andrea Bernardi, Gianluca Brilli, Alessandro Capotondi, Andrea Marongiu, Paolo Burgio
In Design, Automation and Testing in Europe, 2022
March 2022

Haresh Karnan, Kavan Singh Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stonea and Joydeep Biswas
In Intelligent Robots and Systems (IROS)
December 2022
https://ieeexplore.ieee.org/document/9982060









Haresh Karnan, Kavan Singh Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stonea and Joydeep Biswas
In Intelligent Robots and Systems (IROS)
December 2022








Pranav Atreya, Haresh Karnan, Kavan Singh Sikand, Xuesu Xiao, Sadegh Rabiee and Joydeep Biswas
In Intelligent Robots and Systems (IROS)
December 2022
https://ieeexplore.ieee.org/document/9981259









Pranav Atreya, Haresh Karnan, Kavan Singh Sikand, Xuesu Xiao, Sadegh Rabiee and Joydeep Biswas
In Intelligent Robots and Systems (IROS)
December 2022








Pranav Atreya and Joydeep Biswas
In International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
May 2022
https://www.ifaamas.org/Proceedings/aamas2022/pdfs/p35.pdf









Pranav Atreya and Joydeep Biswas
In International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
May 2022








Hongrui Zehng, Johannes Betz, Rahul Mangharam
arXiv Preprint
March 2022
https://arxiv.org/abs/2202.13525









Hongrui Zehng, Johannes Betz, Rahul Mangharam
arXiv Preprint
March 2022








By Jayanth Bhargav,Johannes Betz,Hongrui Zehng,Rahul Mangharam
In IEEE 14th International Conference on COMmunication Systems & NETworkS (COMSNETS)
January 2022
https://ieeexplore.ieee.org/document/9668548









By Jayanth Bhargav,Johannes Betz,Hongrui Zehng,Rahul Mangharam
In IEEE COMSNETS
January 2022








By Stanly Bak,Johannes Betz,Abhinav Chawla, Hongrui Zehng,Rahul Mangharam
In
January 2022
https://www.researchgate.net/publication/355060757_Stress_Testing_Autonomous_Racing_Overtake_Maneuvers_with_RRT









By Stanly Bak,Johannes Betz,Abhinav Chawla, Hongrui Zehng,Rahul Mangharam
In IEEE
January 2022








Jiayi Wei, Tongrui Li, Swarat Chaudhuri, Isil Dillig and Joydeep Biswas
In Intelligent Robots and Systems (IROS)
December 2021
https://ieeexplore.ieee.org/document/9636164/









Jiayi Wei, Tongrui Li, Swarat Chaudhuri, Isil Dillig and Joydeep Biswas
In Intelligent Robots and Systems (IROS)
December 2021








Xuesu Xiao, Joydeep Biswas and Peter Stone
In IEEE Robotics and Automation Letters (RA-L)
June 2021
https://ieeexplore.ieee.org/document/9457139/









Xuesu Xiao, Joydeep Biswas and Peter Stone
In IEEE Robotics and Automation Letters (RA-L)
June 2021








By Niklas Ueter, Kuan-Hsun Chen, Jian-Jia Chen
In IEEE Design & Test
July 2020









By Niklas Ueter, Kuan-Hsun Chen, Jian-Jia Chen
In IEEE Design & Test
July 2020








BayesRace: Learning to race autonomously using prior experience
By A. Jain, M. O'Kelly, P. Chaudhari, M. Morari
In Proceedings of the 4th Conference on Robot Learning (CoRL)
November 2020



BayesRace: Learning to race autonomously using prior experience
By A. Jain, M. O'Kelly, P. Chaudhari, M. Morari
In Proceedings of the 4th Conference on Robot Learning (CoRL)
November 2020

FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
By A. Sinha*, M. O'Kelly*, H. Zheng*, R. Mangharam, J. Duchi, R. Tedrake
In 2020 International Conference on Machine Learning (ICML)
July 2020



FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
By A. Sinha*, M. O'Kelly*, H. Zheng*, R. Mangharam, J. Duchi, R. Tedrake
In 2020 International Conference on Machine Learning (ICML)
July 2020

By M. O'Kelly*, H. Zheng*, A. Jain*, J. Auckley, K. Luong, and R. Mangharam
In 2020 International Conference on Robotics and Automation (ICRA)
June 2020



By M. O'Kelly*, H. Zheng*, A. Jain*, J. Auckley, K. Luong, and R. Mangharam
In 2020 International Conference on Robotics and Automation (ICRA)
June 2020

By Radoslav Ivanov, Taylor J. Carpenter, James Weimer,Rajeev Alur, George J. Pappas, Insup Lee
In 23rd ACM International Conference on Hybrid Systems: Computation and Control
April 2020









By Radoslav Ivanov, Taylor J. Carpenter, James Weimer,Rajeev Alur, George J. Pappas, Insup Lee
In 23rd ACM International Conference on Hybrid Systems: Computation and Control
April 2020







Learning Model Predictive Control on F1tenth Race Car
By Yuwei Wang, Baihong Zeng, Rahul Mangharam
2020



Learning Model Predictive Control on F1tenth Race Car
By Yuwei Wang, Baihong Zeng, Rahul Mangharam
2020

Obstacle Avoidance Using Model Predictive Control: An Implementation and Validation Study Using Scaled Vehicles
By Ardashir Bulsara, Adhiti Raman, Srivatsav Kamarajugadda, Matthias Schmid, Venkat N Krovi
In SAE Technical Paper 2020-01-0109
April 2020









Obstacle Avoidance Using Model Predictive Control: An Implementation and Validation Study Using Scaled Vehicles
By Ardashir Bulsara, Adhiti Raman, Srivatsav Kamarajugadda, Matthias Schmid, Venkat N Krovi
In SAE Technical Paper 2020-01-0109
April 2020








Teaching Autonomous Systems at 1/10th-scale: A project-based course and community.
By A. Agnihotri*, M. O'Kelly*, H. Abbas and R. Mangharam
In ACM Special Interest Group on Computer Science Education (SIGCSE)
Runner up, best paper
January 2020



By A. Agnihotri*, M. O'Kelly*, H. Abbas and R. Mangharam
In ACM Special Interest Group on Computer Science Education (SIGCSE)
Runner up, best paper
January 2020

F1TENTH: An Open-source Evaluation Environment for Continuous Control and Reinforcement Learning
By M. O'Kelly, H. Zheng, D. Karthik, and R. Mangharam
In Post Proceedings of the NeurIPS 2019 Demonstration and Competition Track
Honorable mention, best demonstration
December 2019



F1TENTH: An Open-source Evaluation Environment for Continuous Control and Reinforcement Learning
By M. O'Kelly, H. Zheng, D. Karthik, and R. Mangharam
In Post Proceedings of the NeurIPS 2019 Demonstration and Competition Track
Honorable mention, best demonstration
December 2019

Empowering Graduate Engineering Students with Proficiency in Autonomy
By Raman, Adhiti T and Krovi, Venkat N and Schmid, Matthias JA
August 2018









Empowering Graduate Engineering Students with Proficiency in Autonomy
By Raman, Adhiti T and Krovi, Venkat N and Schmid, Matthias JA
August 2018









Theses
By Zdeněk Berka
Master's Thesis 2020
Czech Technical University in Prague



Theses
By David Zahrádka
Master's Thesis 2020
Czech Technical University in Prague



Theses
By David Kopecký
Master's Thesis 2019
Czech Technical University in Prague



Theses
By Jaroslav Klapálek
Master's Thesis 2019
Czech Technical University in Prague

By Shivangi Misra, Dingding Zheng, and Weiyi Tang
University of Pennsylvania



Projects
By Shivangi Misra, Dingding Zheng, and Weiyi Tang
University of Pennsylvania

Projects
By Jonatan Jönsson & Felix Stenbäck
Master's Thesis 2020



Theses
By Jonatan Jönsson & Felix Stenbäck
Master's Thesis 2020

Theses
By Daniel Gonçalves Almeida
Instituto Superior de Engenharia do Porto
Master’s Thesis 2019









Theses
By Daniel Gonçalves Almeida
Instituto Superior de Engenharia do Porto
Master’s Thesis 2019







Theses
A Robotic Platooning Testbed for Cooperative ITS Components
By Nuno Miguel Santos Guedes
Instituto Superior de Engenharia do Porto
Master’s Thesis 2019









Theses
By Nuno Miguel Santos Guedes
Instituto Superior de Engenharia do Porto
Master’s Thesis 2019







Theses
Slip detection for F1/10 model car
By Jan Dusil
Czech Technical University in Prague
Bachelor's Thesis 2019











Theses
Slip detection for F1/10 model car
By Jan Dusil
Czech Technical University in Prague
Bachelor's Thesis 2019









Theses
Software testing for embedded applications in autonomous vehicles
By Jiří Kerner
Czech Technical University in Prague
Master's Thesis 2017











Theses
By Jiří Kerner
Czech Technical University in Prague
Master's Thesis 2017









Theses
Model car for the F1/10 autonomous car racing competition
By Martin Vajnar
Czech Technical University in Prague
Master's Thesis 2017











Theses
By Martin Vajnar
Czech Technical University in Prague
Master's Thesis 2017












AutoDRIVE-F1TENTH-Autoware Integration
By Tanmay Samak and Chinmay Samak
Feb 10, 2024
AutoDRIVE

This work focuses on developing autonomy-oriented digital twins of vehicles across different scales and configurations to help support the streamlined development and deployment of Autoware Core/Universe stack, using a unified real2sim2real toolchain. Particularly, the core deliverable for this project was to integrate the Autoware stack with AutoDRIVE Ecosystem to demonstrate end-to-end task of mapping an unknown environment, recording a trajectory within the mapped environment, and autonomously tracking the pre-recorded trajectory to achieve the desired objective.
AutoDRIVE Ecosystem Website
GitHub Repository
YouTube Playlist




Digital Twin of F1TENTH in AutoDRIVE Simulator - A First Look
By Tanmay Samak and Chinmay Samak
Oct 13, 2023
AutoDRIVE

AutoDRIVE is envisioned to be a comprehensive, flexible and integrated ecosystem for autonomous driving research and education. It bridges the gap between software simulation and hardware deployment by providing the AutoDRIVE Simulator and AutoDRIVE Testbed, a well-suited duo for sim2real applications. It also offers AutoDRIVE Devkit, a developer's kit for rapid and flexible development of autonomy algorithms. Although the platform is primarily targeted towards autonomous driving, it also supports the development of smart-city solutions for managing the traffic flow.
AutoDRIVE Website
Download the Simulator
Download the APIs




Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing
By Jonathan Becker, Nadine Imholz, Luca Schwarzenbach Edoardo Ghignone, Nicolas Baumann and Michele Magno
July, 2023
D-ITET Center for Project-Based Learning

The video describes the MAP controller, highlighting how it differs from the standard Pure Pursuit algorithm and how the system identification experiment is used to generate the lookup table. The video further shows how pure pursuit fails to properly control the car at the limit of traction, while MAP succeds.
GitHub Repository
Read More




The Fast and the Autonomous
By Matthew Westmoreland
May 15, 2020
Stories Powered by UNC Research

In a small corner of Sitterson Hall sits a fleet of pint-size cars that can see and navigate independently, winning races for the team of UNC computer science students that created them. While the stakes are low for these high-tech toys, it’s a completely different game when applied to full-size vehicles in the real world — the application of professor Parasara Sridhar Duggirala’s research.
Read More

Adventures in Autonomous Vehicles
April 21, 2020
Medium

A chronicle of the work Penn Engineering’s mLAB is doing in autonomous vehicles.
Read More




Engineering Out Loud: The Age of Autonomous Vehicles
February 12, 2020

The F1TENTH talk starts at around 08:00 and ends at 14:00.





Mini Autonomous Vehicles Race for Community-Driven Research
By Izzy Lopez
October 22, 2019
Penn Engineering

Starting with off-the-shelf RC cars, researchers around the country are testing safety and security features of full-size vehicles at a fraction of the cost.
Read More




F1 Tenth Autonomous Racing Competition at Columbia Engineering
From Columbia Video Network
October 22, 2019

Highlights from the 5th F1TENTH Autonomous Grand Prix.



Researchers Are Using Model Cars to Perfect Autonomous Vehicles
By Vineeth Joel Patel
October 19, 2019
FutureCar

Waymo, Uber, Lyft, Chevrolet, Ford, and more have autonomous cars on public roads in the U.S. Working on autonomous technology isn't a cheap venture, but it's something these brands don't have to worry about, as they have hundreds of millions of dollars to throw at developing the tech. For everyone else, there might be a better alternative – model cars.
Read More



These Small Cars Can Help Drive the Autonomous Future
By AARIAN MARSHALL
October 5, 2019
Wired

OVER THE NEXT three years, Houssam Abbas will carefully send 80 modified Traxxas RC rally cars—the Ford Fiesta model—to research facilities around the country. Some will go to Arizona State University, others to Clemson University, the State University of New York at Stony Brook, UCLA, Vanderbilt University, or the University of Iowa. In each place, researchers will open their packages, take out the 21-inch, modified, 1/10th-scale car, and begin to run tests.
Read More




Training a neural network for driving an autonomous RC car
By Maciek Dziubiński
September 2, 2019
Medium

About machine learning and mobile robotics, and how “they go together like a horse and carriage”.
Read More



UNC CS team wins F1/10 autonomous racing challenge
April 26, 2019
UNC News

Researchers from the UNC Department of Computer Science took first place at F1/10, an autonomous RC car race held during Cyber-Physical Systems and Internet-of-Things (CPS-IoT) Week 2019 in Montreal, Canada.
Read More

The "Disparity Extender" Algorithm, and F1/Tenth
By Nathan Otterness
April 22, 2019
Blogger

Recently, my team from UNC-Chapel Hill won an F1/Tenth competition, held at CPSWeek 2019, in Montreal. For those who don't know, F1/Tenth is an autonomous R/C car race with an emphasis primarily on a common platform--so competition is primarily between algorithms and less about the quality of the physical vehicle.
Read More



At New College House, small self-driving cars race each other
By Daniel Wang
November 7, 2018
The Daily Pennsylvanian

On Wednesday night, students across the Penn community watched a self-driving car fly through a racetrack in the New College House Dining Pavilion. They were attending the F1/10 Autonomous Racing demonstration, an initiative that encourages students to explore self-driving vehicles by developing a F1 race car at 1/10th of its regular scale.
Read More



Experiences and thoughts from the 3rd F1/10th competition
By Maciek Dziubiński
October 28, 2018
Medium

Our team won the F1/10th competition in Torino! Now that the celebrations are over, it’s time to analyze and draw conclusions from the event to prepare ourselves for the upcoming competition in 2019.
Read More



RACING FOR AN A: STUDENTS IN UNIQUE COURSE PUT SELF-DRIVING CARS TO FINAL TEST
By Fariss Samarrai
May 14, 2018
UVAToday

While most students last week were studying late for final exams, 32 University of Virginia engineering students were staying up late for a different reason: They were testing miniature cars in preparation for an autonomous vehicle race that was their final exam.
Read More