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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Bernardo Martinez Rocamora Jr.
About me
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Posts
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Blog Post number 1
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publications
Baseline Acoustic Levels of the EESC-USP Fan Rig
Published in 23rd AIAA/CEAS Aeroacoustics Conference, 2017
Recommended citation: Bernardo Martinez, Paulo C. Greco, Luciano Caldas, Luiz A. Baccalá, Rafael G. Cuenca and Rudner L. Queiroz. "Baseline Acoustic Levels of the EESC-USP Fan Rig," AIAA 2017-3384. 23rd AIAA/CEAS Aeroacoustics Conference. June 2017. https://arc.aiaa.org/doi/abs/10.2514/6.2017-3384
Design of an Instrumented Stator Vane for Unsteady Pressure Measurements using MEMS Microphones
Published in 31st Congress of the International Council of the Aeronautical Sciences (ICAS), 2018
In this work, an instrumented stator vane was designed using recently available technologies, as 3D printing and the use of MEMS microphones, to measure this pressure fluctuations. Phase-averaging and the signal from a hall sensor were used to separate broadband content in time series.
Recommended citation: Bernardo Martinez R. Jr., Luciano C. Caldas, Rafael G. Cuenca, Rudner L. Queiroz, Paulo C. Greco. "Design of an Instrumented Stator Vane for Unsteady Pressure Measurements using MEMS Microphones," ICAS 2018-0591. 31st Congress of the International Council of the Aeronautical Sciences (ICAS). September 2018. http://www.icas.org/ICAS_ARCHIVE/ICAS2018/data/papers/ICAS2018_0591_paper.pdf
Parametric Investigation of the EESC-USP Aeroacoustic Fan Rig
Published in 31st Congress of the International Council of the Aeronautical Sciences (ICAS), 2018
A parametric campaign was conducted at the EESC-USP low speed Fan Rig. In it, was changed the parameters: shaft speed, rotor-stator spacing and throttling.
Recommended citation: Rafael G. Cuenca, Bernardo Martinez R. Jr., Paulo C. Greco. "Parametric Investigation of the EESC-USP Aeroacoustic Fan Rig," ICAS 2018-0147. 31st Congress of the International Council of the Aeronautical Sciences (ICAS). September 2018. http://www.icas.org/ICAS_ARCHIVE/ICAS2018/data/papers/ICAS2018_0591_paper.pdf
Fast Path Computation using Lattices in the Sensor-Space for Forest Navigation
Published in 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021
This paper presents a motion planning strategy that relies on lattices for the fast computation of local paths that both avoid obstacles and follow a vector field that encodes the global robot task.
Recommended citation: B. Martinez R. Junior and G. A. S. Pereira, "Fast Path Computation using Lattices in the Sensor-Space for Forest Navigation," 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 1117-1123, doi: 10.1109/ICRA48506.2021.9561241. https://ieeexplore.ieee.org/abstract/document/9561241
NASA Space Robotics Challenge 2 Qualification Round: An Approach to Autonomous Lunar Rover Operations
Published in IEEE Aerospace and Electronic Systems Magazine, 2021
The main goal of this article is to share our teams experiences on the design tradeoffs to perform autonomous robotic operations in a virtual lunar environment and to share strategies to complete the mission requirements posed by NASA SRC2 competition.
Recommended citation: Kilic, C., Martinez, B., Tatsch, C. A., Beard, J., Strader, J., Das, S., ... & Gross, J. N. (2021). NASA Space Robotics Challenge 2 Qualification Round: An Approach to Autonomous Lunar Rover Operations. IEEE Aerospace and Electronic Systems Magazine, 36(12), 24-41. https://ieeexplore.ieee.org/abstract/document/9642033
Parallel Sensor-Space Lattice Planner for Real-Time Obstacle Avoidance
Published in Sensors, 2022
This paper presents a parallel motion planner for mobile robots and autonomous vehicles based on lattices created in the sensor space of planar range finders.
Recommended citation: Martinez Rocamora, B., Jr.; Pereira, G.A.S. Parallel Sensor-Space Lattice Planner for Real-Time Obstacle Avoidance. Sensors 2022, 22, 4770. https://doi.org/10.3390/s22134770. https://www.mdpi.com/1424-8220/22/13/4770
Towards Finding Energy Efficient Paths for Hybrid Airships in the Atmosphere of Venus
Published in 2022 International Conference on Unmanned Aircraft Systems (ICUAS), 2022
This paper presents a solution to the motion planning problem for an autonomous airship under super-rotation winds of the Venusian atmosphere.
Recommended citation: B. Martinez R., A. P. I. Juan and G. A. S. Pereira, "Towards Finding Energy Efficient Paths for Hybrid Airships in the Atmosphere of Venus," 2022 International Conference on Unmanned Aircraft Systems (ICUAS), 2022, pp. 386-393, doi: 10.1109/ICUAS54217.2022.9836111. https://ieeexplore.ieee.org/abstract/document/9836111