Papers
2
Total Citations
19
H-Index
2
About
Bruno Bachelet is a leading researcher at the intersection of smart farming, autonomous robotics, and the Internet of Things (IoT). His work focuses on developing novel architectures for the scheduling and coordination of agricultural robots, addressing the complex interplay between robot programming, task allocation, and sensor data management within Farm Management Information Systems. Bachelet’s key contribution is the **LambdAgrIoT architecture**, a pioneering framework that integrates autonomous robot scheduling with IoT ecosystems, enabling seamless data capture and processing across multiple layers. His most cited paper, “LambdAgrIoT: a new architecture for agricultural autonomous robots’ scheduling: from design to experiments” (2022), has garnered **15 citations**, while his foundational work “Towards an Architecture for Agricultural Autonomous Robots’ Scheduling” (2021) has **4 citations**. These publications are shaping the future of precision agriculture, offering scalable solutions for real-time decision-making in smart farms. Bachelet’s research is instrumental in advancing the efficiency and autonomy of agricultural systems, making him a notable figure in the field of agricultural robotics and IoT.
Research Focus
Key Achievements
Top Papers
- 1
- 2Towards an Architecture for Agricultural Autonomous Robots’ Scheduling4 citations · 2021