Pedro Machado
Papers
6
Total Citations
112
H-Index
4
About
Pedro Machado is a robotics and artificial intelligence researcher whose work spans precision forestry, human activity monitoring, edge computing, and multimodal perception systems. His research is driven by a central question: how can robots effectively perceive and interact with complex, unstructured real-world environments? Machado's most influential contribution is his 2023 survey on artificial perception for robots in precision forestry (43 citations), which provides a comprehensive synthesis of sensing and perception techniques for outdoor robotic systems — one of robotics' most persistent open challenges. Complementing this, his benchmarking study on edge computing devices for vineyard detection (26 citations) addresses the practical constraints of deploying deep learning models on energy-limited field robots, offering valuable guidance for agricultural robotics practitioners. His 2019 work on gesture recognition for abnormality detection in older adults (26 citations) demonstrates a meaningful commitment to socially impactful AI, targeting independent living and health monitoring for ageing populations. Further broadening his scope, Machado has explored tactile-based object recognition using CNN and LSTM architectures, highlighting his interest in fusing multiple sensory modalities to enhance robotic manipulation. Across his portfolio, Machado consistently bridges fundamental perception research with real-world deployment challenges.
Research Focus
Key Achievements
Top Papers
- 1Sensing and Artificial Perception for Robots in Precision Forestry: A Survey43 citations · 2023
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- 5Robotics Use Case Scenarios3 citations · 2020
- 6Object Classification for Robotic Platforms3 citations · 2019