output
20142026
most citedAmbient awareness for agricultural robotic vehicles

125 citations

7 papers

quant-ph2026

Quantifying Effective Heterodyne Detection Efficiency with SI-Traceable Standards

Luiz Couto Correa Pinto Filho, Jesper B. Christensen, Anders Brusch +1

Accurate calibration of coherent optical receivers is essential for reliable performance assessment in coherent communications, precision and quantum sensing, and continuous-variab…

cs.CV2024

Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software

Chengjie Lu, Jiahui Wu, Shaukat Ali +1

Refurbishing laptops extends their lives while contributing to reducing electronic waste, which promotes building a sustainable future. To this end, the Danish Technological Instit…

eess.SY2023★ 39 cited

Long-term experimental study of price responsive predictive control in a real occupied single-family house with heat pump

Simon Thorsteinsson, Alex Arash Sand Kalaee, Pierre Vogler-Finck +3

The continuous introduction of renewable electricity and increased consumption through electrification of the transport and heating sector challenges grid stability. This study inv…

cs.RO2021★ 125 cited

Ambient awareness for agricultural robotic vehicles

Giulio Reina, Annalisa Milella, Raphael Rouveure +3

In the last few years, robotic technology has been increasingly employed in agriculture to develop intelligent vehicles that can improve productivity and competitiveness. Accurate…

cs.RO2021★ 67 cited

A multi-sensor robotic platform for ground mapping and estimation beyond the visible spectrum

Annalisa Milella, Giulio Reina, Michael Nielsen

Accurate soil mapping is critical for a highly-automated agricultural vehicle to successfully accomplish important tasks including seeding, ploughing, fertilising and controlled tr…

cs.LG2019★ 3 cited

A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots

Nicolai A. Lynnerup, Laura Nolling, Rasmus Hasle +1

As reinforcement learning (RL) achieves more success in solving complex tasks, more care is needed to ensure that RL research is reproducible and that algorithms herein can be comp…