Using infrared sensors for distance measurement in mobile robots

By G. Benet, F. Blanes, José-Enrique Simó-Ten, P. Pérez. Robotics Auton. Syst., 2002

295 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Networks and Communications, Instrumentation

View Paper: https://www.semanticscholar.org/paper/79ce8e7294c2125749da28c85cdfa28f5c802f02

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Sonia Martínez
2. A. Mahmood
3. Francesco Bullo
4. James Bergstra

In Computer Networks and Communications

1. Francesco Bullo
2. Sonia Martínez
3. A. Mahmood
4. James Bergstra
5. Jorge Cortés
6. Reza Olfati-Saber
7. Qing Hui
8. Islam I. Hussein

In Instrumentation

1. Sonia Martínez
2. Francesco Bullo

Citations in the corpus

• Optimal sensor placement and motion coordination for target tracking (2006, methodology): “This model is inspired by those employed elsewhere in the literature, see for example [3, 15], and should be considered as a first, reasonable approximation of sensors providing time-of-flight measurements.”
• Benchmarking Reinforcement Learning Algorithms on Real-World Robots (2018, methodology): “For the wall sensors, we always take the latest values received within the action cycle and use Equation 1 by (Benet et al. 2002) to convert the incoming signals to approximate distances.”