Alejandro Lumbier

Universidad Carlos III de Madrid

Papers

3

Total Citations

87

H-Index

2

About

Alejandro Lumbier is a roboticist whose work centers on motion planning and dexterous manipulation, with a particular emphasis on applying the Fast Marching Square (FM²) method to complex robotic systems. His most influential contribution, "Planning robot formations with fast marching square including uncertainty conditions" (2012, 78 citations), introduced a robust framework for coordinating multi-robot formations under uncertain environments, establishing FM² as a versatile tool beyond simple path planning. Lumbier further extended this methodology to precision grasping, developing novel approaches for planning the movements of robotic hands—specifically the Gifu Hand III—to execute stable, precise grasps. His 2013 papers on precision grasp planning, though with fewer citations, demonstrate a focused effort to bridge theoretical motion planning with practical manipulation tasks, considering three-finger kinematic chains and the challenges of fine motor control. While his citation impact is modest, Lumbier’s work is notable for its systematic adaptation of a single, elegant algorithm (FM²) across two critical domains: formation control and grasping. This dual application highlights his ability to identify unifying principles in robotics, making his research a valuable reference for students and engineers interested in efficient, uncertainty-aware motion planning for both mobile robots and manipulators.

Research Focus

Key Achievements

2
H-Index
3
Papers
87
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Planning robot formations with fast marching square including uncertainty conditions
78 citations · 2012
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Universidad Carlos III de Madrid

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago