Papers
65
Total Citations
938
H-Index
16
About
Armando Sousa is a prominent robotics researcher whose work spans agricultural and forestry robotics, computer vision, and autonomous systems. Based at a leading Portuguese institution, Sousa has made substantial contributions to the intersection of mobile robotics and real-world industrial applications, amassing hundreds of citations across a highly diverse body of work. His most influential contribution, a 2020 survey on localization and mapping for agricultural and forestry robots (127 citations), has become a key reference for researchers navigating autonomous systems in unstructured outdoor environments. Closely related work on vineyard trunk detection using deep learning and transfer learning demonstrates his commitment to solving practical precision agriculture challenges, particularly in the demanding terrain of steep-slope vineyards. His 2021 study extending trunk detection to thermal imaging further broadens the robustness of forestry robotics applications. Beyond agriculture, Sousa has made notable strides in collaborative industrial robotics, with his BIM-integrated augmented reality welding system (119 citations) standing as one of his most widely recognized achievements. His research portfolio also encompasses humanoid robot soccer via deep reinforcement learning and omni-directional robot dynamics, reflecting a rare breadth of expertise. Altogether, Sousa's work meaningfully advances robotics across multiple complex, real-world domains.
Research Focus
Key Achievements
Top Papers
- 1Localization and Mapping for Robots in Agriculture and Forestry: A Survey127 citations · 2020
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- 9Detecting and Solving Tube Entanglement in Bin Picking Operations27 citations · 2020
- 10DYNAMICAL MODELS FOR OMNI-DIRECTIONAL ROBOTS WITH 3 AND 4 WHEELS27 citations · 2008