Roberto Martin-Martin
Papers
2
Total Citations
116
H-Index
2
About
Roberto Martin-Martin is a leading roboticist whose research lies at the intersection of computer vision, manipulation, and autonomous navigation in unstructured environments. His foundational work on **Mechanical Search** (2019, 108 citations) addresses a critical real-world challenge: enabling robots to locate and retrieve a target object buried under clutter in bins or shelves—a task essential for warehouses, homes, and retail automation. This work established a new problem class and practical algorithms for interactive, multi-step object retrieval. More recently, Martin-Martin has advanced **visual navigation** by developing probabilistic models that allow mobile robots to robustly follow a visual trajectory defined by a sequence of images, even amid environmental changes or obstacles. His 2021 paper on bidirectional image prediction demonstrates how a robot with only a single RGB fisheye camera can achieve human-like path following. By bridging perception and action, Martin-Martin’s contributions are shaping the next generation of robots that can operate safely and efficiently in the messy, dynamic spaces where people live and work.
Research Focus
Key Achievements
Top Papers
- 1Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter108 citations · 2019
- 2Probabilistic Visual Navigation with Bidirectional Image Prediction8 citations · 2021