A novel concept of lane-keeping algorithms for mobile robots. - Zoltán Gyenes; Emese Gincsainé Szádeczky-Kardoss (SISY, 2019)

Particle filter-based perception method for obstacles in dynamic environment of a mobile robot. - Zoltán Gyenes; Emese Gincsainé Szádeczky-Kardoss (MMAR, 2021)

Motion Planning for Mobile Robots using the Human Tracking Velocity Obstacles Method. - Zoltán Gyenes; Ilshat Mamaev; Dongxu Yang; Emese Gincsainé Szádeczky-Kardoss; Björn Hein (ICINCO, 2022)

Motion planning for mobile robots using the Collidable Velocity Obstacles method. - Zoltán Gyenes; Emese Gincsainé Szádeczky-Kardoss (MED, 2022)

Can Genetic Algorithms Be Used for Real-Time Obstacle Avoidance for LiDAR-Equipped Mobile Robots? - Zoltán Gyenes; Ladislau Bölöni; Emese Gincsainé Szádeczky-Kardoss (Sensors, 2023)

Exploring the Use of Particle and Kalman Filters for Obstacle Detection in Mobile Robots. - Zoltán Gyenes; Ladislau Bölöni; Emese Gincsainé Szádeczky-Kardoss (Period. Polytech. Electr. Eng. Comput. Sci., 2023)

Motion planning for mobile robots using the Safety Acceleration Velocity Obstacle method. - Zoltán Gyenes; Barnabás Finta; Bálint Kiss; Emese Gincsainé Szádeczky-Kardoss (MMAR, 2024)

Motion Planning for Mobile Robots Using Uncertain Obstacle Estimation. - Zoltán Gyenes; Barnabás Pajkos; Ladislau Bölöni; Emese Gincsainé Szádeczky-Kardoss (IEEE Access, 2024)