Search: Imitation learning — Academic Articles

E2ETrADS: end-to-end transformer based autonomous driving system for adverse weather conditions

Sotirios Spanogianopoulos, Kenan Ahiska • European Transport Research Review (2026)

Abstract Adverse weather conditions, such as snow, heavy rain, fog, or limited illumination, pose significant challenges for autonomous vehicles (AVs) by degrading sensor reliability. This paper introduces E2ETrADS, an end-to-end transforme...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12544-026-00793-6

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Robot Learning from Demonstration in Robotic Assembly: A Survey

Zuyuan Zhu, Huosheng Hu • Robotics (2018)

Learning from demonstration (LfD) has been used to help robots to implement manipulation tasks autonomously, in particular, to learn manipulation behaviors from observing the motion executed by human demonstrators. This paper reviews recent...

OPENALEX cc-by DOI: https://doi.org/10.3390/robotics7020017

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Spatiotemporal prediction of sneeze pollutants in enclosed spaces: a CNN-LSTM approach validated by field measurements and CFD-Robotics arm twin system

Mingyu Zhao, Shujia Zhang, Ke Li, Yanru Zhang et al. • Frontiers in Robotics and AI (2026)

Densely populated enclosed environments, characterized by complex thermal stratification and overlapping breathing zones, represent high-risk clusters for the airborne transmission of respiratory pathogens. To address the dual challenges of...

DOAJ Open Access (DOAJ) DOI: 10.3389/frobt.2026.1846010

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LearningEMS: A Unified Framework and Open-Source Benchmark for Learning-Based Energy Management of Electric Vehicles

Yong Wang, Hongwen He, Yuankai Wu, Pei Wang et al. • Engineering (2025)

An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasin...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.eng.2024.10.021

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Academic Articles & Research Papers

E2ETrADS: end-to-end transformer based autonomous driving system for adverse weather conditions

Robot Learning from Demonstration in Robotic Assembly: A Survey

Spatiotemporal prediction of sneeze pollutants in enclosed spaces: a CNN-LSTM approach validated by field measurements and CFD-Robotics arm twin system

LearningEMS: A Unified Framework and Open-Source Benchmark for Learning-Based Energy Management of Electric Vehicles