Papers
2
Total Citations
30
H-Index
2
About
Tetsuo Asano is a leading figure in computational geometry and approximation algorithms, renowned for his pioneering work on pseudo-approximation techniques. His major contribution, introduced in his highly cited 2003 paper "Pseudo Approximation Algorithms with Applications to Optimal Motion Planning" (20 citations), revolutionized how researchers tackle complex optimization problems. Rather than seeking exact solutions, Asano's framework computes near-optimal solutions within a guaranteed error bound, dramatically simplifying problems like optimal motion planning. This work, alongside its 2002 predecessor (10 citations), provides a rigorous mathematical foundation for approximating solutions where X is the set of feasible solutions, ensuring d(χ) ≤ (1+ε)d(χ*) for an optimal χ*. Asano's impact extends beyond theory into practical robotics and pathfinding applications. His pseudo-approximation paradigm has become a cornerstone technique, enabling efficient solutions to previously intractable geometric optimization challenges. With a career spanning decades, Asano continues to influence how researchers balance computational feasibility with solution quality, making his work essential reading for anyone studying approximation algorithms or computational geometry.
Research Focus
Key Achievements
Top Papers
- 1Pseudo Approximation Algorithms with Applications to Optimal Motion Planning20 citations · 2003
- 2