Research papers

Duckietown is a versatile and accessible mobile robotics and embedded AI modular setup for reproducible scientific research.

Autonomous Calibration - Wheels & Camera in Duckietown

Autonomous Calibration – Wheels and Camera in Duckietown

Multi-camera multi-robot visual localization system

Visual localization using multi-camera multi-robot system

Analysis of Object Detection Models on Duckietown Robot Based on YOLOv5 Architectures

Object Detection on Duckiebots Using YOLOv5 Models

Survey on Testbeds for Vehicle Autonomy & Robot Swarms

Survey on Testbeds for Vehicle Autonomy & Robot Swarms

Sim2Real Transfer of Multi-Agent Policies for Self-Driving

Sim2Real Transfer of Multi-Agent Policies for Self-Driving

Enhancing Visual Domain Randomization with Real Images for Sim-to-Real Transfer

Enhancing Visual Domain Randomization for Sim2Real Transfer

Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning

Reward Consistency for Interpretable Feature Discovery in RL

Graph autonomous bots history

Towards Autonomous Driving with Small-Scale Cars: A Survey of Recent Development

Vision-based reinforcement learning for lane-tracking control

Vision-based Reinforcement Learning for Lane-Tracking Control

A more comprehensive list of research papers is available on Google Scholar.

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