B. Martinez
Papers
2
Total Citations
22
H-Index
2
About
B. Martinez is a researcher whose work has focused on advancing collision detection for complex, real-world applications, particularly in robotics and computer graphics. Their major contributions center on developing efficient, hierarchical methods for detecting collisions between general objects, a critical bottleneck as geometries grow increasingly intricate. Martinez’s most-cited paper, "A practical approach to collision detection between general objects" (2002, 17 citations), introduces a powerful representation using hierarchies of spheres to overcome this challenge. Building on this, their work "Fast collision detection for realistic multiple moving robots" (2002, 5 citations) extends the spherical hierarchy approach to enable practical motion planning for multiple moving robots in large, complex scenarios. While citation counts are modest, these contributions have provided foundational techniques for fast, reliable collision detection in dynamic environments. Martinez’s research is particularly notable for its focus on real-world applicability, addressing the need for speed and accuracy in applications ranging from robot navigation to interactive simulations. Their work remains relevant for students and researchers seeking efficient solutions to collision detection problems in crowded, moving scenes.
Research Focus
Key Achievements
Top Papers
- 1A practical approach to collision detection between general objects17 citations · 2002
- 2Fast collision detection for realistic multiple moving robots5 citations · 2002