M. Fernandes
Papers
3
Total Citations
16
H-Index
2
About
M. Fernandes is a robotics researcher specializing in autonomous navigation, perception, and manipulation for agricultural and field robotics. Their work centers on developing robust, real-world solutions for complex environments, with a particular focus on quadruped robots and vision-based systems. Fernandes’s most notable contribution is the VINUM project, which introduces a cutting-edge mobile robotic solution to address labor shortages in modern vineyards. By integrating the HyQReal quadruped robot with arm and vision sensors, this work enables autonomous navigation and winter pruning, demonstrating a practical application of legged robotics in precision agriculture. This flagship paper has already garnered 12 citations since 2023, reflecting its timely impact. Fernandes has also advanced SLAM robustness through the SLAMfusion approach, which fuses three parallel SLAM methods to improve state estimation over obstacles, and explored efficient grasping by showing that simplifying point clouds can enhance robotic manipulation performance. These contributions, though more recent, underscore a commitment to overcoming real-world challenges in robotics. Fernandes’s research is marked by a pragmatic, systems-level approach, bridging perception, control, and field deployment, making their work highly relevant for students and researchers interested in autonomous field robotics and agricultural automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2SLAMfusion: Fusing SLAM Methods for Improved Robustness2 citations · 2016
- 3“Less is more”: Simplifying point clouds to improve grasping performance2 citations · 2018