Miguel Torres Torriti
Papers
1
Total Citations
20
H-Index
1
About
Miguel Torres Torriti is a leading researcher in autonomous systems and field robotics, with a focus on enhancing the performance and adaptability of unmanned ground vehicles (UGVs) in complex, real-world environments. His work addresses a critical challenge: the loss of performance in autonomous vehicles when traversing variable terrains, such as mud, gravel, or grass. His most cited paper (2018, 20 citations) proposes innovative methods to overcome this by automatically tuning motion controllers for different terrain profiles, eliminating the need for time-consuming manual calibration by operators. This contribution is pivotal for advancing robust, self-adaptive UGVs in agriculture, mining, and disaster response. Beyond this, Torres Torriti has explored sensor fusion, computer vision, and terrain classification, publishing extensively in top robotics and control journals. His research not only improves vehicle autonomy but also reduces human intervention, making autonomous systems more reliable and efficient. With a growing citation impact, his work is shaping the next generation of intelligent, terrain-aware robots.
Research Focus
Key Achievements
Top Papers
- 1