Jacobs University, Bremen, June 1, 2022: Francesco Maurelli, professor at the Jacobs University of Bremen, talks about how Duckietown impacted his work and his academic career.
UdM, Montréal, May 5, 2022: Liam Paull, professor at the University of Montreal and one of Duckietown’s founders, talks about his role and experiences with Duckietown.
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers Duckietown’s infrastructure is used by researchers worldwide to push the boundaries of knowledge. Of the many outstanding
ETHZ, Zurich, March 11, 2022: How Vincenzo discovered his true professional passion as a student using Duckietown. Learning Autonomy in practice with Vincenzo Polizzi Vincenzo
The 2021 AI Driving Olympics Compete in the 2021 edition of the Artificial Intelligence Driving Olympics (AI-DO 6)! The AI-DO serves to benchmark the state
Automatic Wheels and Camera Calibration for Monocular and Differential Mobile Robots Konstantin Chaika, Anton Filatov, Artyom Filatov, Kirill Krinkin Applied Sciences 11, no. 13: 5806.
Embedded out-of-distribution detection on an autonomous robot platform Embedded out-of-distribution detection on an autonomous robot platform Michael Yuhas, Yeli Feng, Daniel Jun Xian Ng, Zahra
Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously
Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin, Aleksei Shpilman Workshop on AI
Compete in the 5th AI Driving Olympics (AI-DO) The 5th edition of the Artificial Intelligence Driving Olympics (AI-DO 5) has officially started! The AI-DO serves
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne,
What a start for IROS 2020 with the “Benchmarking Progress in Autonomous Driving” workshop! The 2020 edition of the International Conference on Intelligent Robots and
The IROS 2020 Workshop on Benchmarking Autonomous Driving Duckietown has also a science mission: to help develop technologies for reproducible benchmarking in robotics. The IROS 2020
Title: Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World – IEEE Conference Publication Authors: Péter Almási, Róbert Moni, Bálint Gyires-Tóth Published: 2020
No one likes sitting in traffic – it is a waste of time and damaging to the environment. Thankfully researcher Arian Houshmand from Boston University CODES
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions
Authors: Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How Published in IROS 2017. Link: https://arxiv.org/abs/1707.07399
Authors: Konstantin Danilov, Ruslan Rezin, Alexander Kolotov, Ilya Afanasyev Published on arXiv on May 8, 2018 Link: https://arxiv.org/abs/1805.03241
Authors: Guy Rosman, Liam Paull, and Daniela Rus Published in IROS 2017 Link: https://ieeexplore.ieee.org/document/8206612/
Integration of open source platform duckietown and gesture recognition as an interactive interface for the museum robotic guide
Authors: Feng-Ching Cheng, Zi-Yu Wang, and Jee-Jee Chen Published in 2018 Wireless and Optical Communication Conference Link: https://ieeexplore.ieee.org/abstract/document/8372718/
Deep Trail-Following Robotic Guide Dog in Pedestrian Environments for People who are Blind and Visually Impaired – Learning from Virtual and Real Worlds
Authors: Tzu-Kuan Chuang, Ni-Ching Lin, Jih-Shi Chen, Chen-Hao Hung, Yi-Wei Huang, Chunchih Teng, Haikun Huang, Lap-Fai Yu, Laura Giarre, and Hsueh-Cheng Wang Published in ICRA