Anderson Carvalho

Munster Technological University, University Hospital Kerry

Papers

Total Citations

172

H-Index

About

Anderson Carvalho is a leading researcher in autonomous mobile robotics and precision agriculture, with a particular focus on intelligent navigation and 3D vision systems. His most influential work, "Path Planning Techniques for Mobile Robots: A Review," has garnered 83 citations and provides a comprehensive analysis of algorithms that enable robots to navigate complex environments in industry, agriculture, and search-and-rescue operations. Carvalho has also made significant contributions to the emerging field of precision dairy farming, where his 2019 paper on 3D vision systems—cited 52 times—explores how computer vision can automate critical tasks such as animal monitoring, herding, and milking. His research on adaptive multimodal localisation techniques for unstructured environments (21 citations) addresses the challenge of integrating mobile robots into the Internet of Things (IoT) paradigm, extending sensing capabilities to remote areas where traditional sensor networks are impractical. Additionally, his 2020 review on localization techniques (16 citations) synthesizes advances in perception and sensor interpretation essential for autonomous navigation. Through these works, Carvalho has established himself as a key figure bridging robotics, computer vision, and smart agriculture, with his research directly impacting the development of more autonomous and efficient robotic systems.