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Refinement Of Probabilistic Models For The Nao Robot In A Labyrinth, Akram Alghanmi, Samantha Eaton, Kleanthis Zisis Tegos, Sagar Vilas Jagtap, Godwyll Aikins, Neda Keivandarian, Ran Bi, Marius Silaghi
Refinement Of Probabilistic Models For The Nao Robot In A Labyrinth, Akram Alghanmi, Samantha Eaton, Kleanthis Zisis Tegos, Sagar Vilas Jagtap, Godwyll Aikins, Neda Keivandarian, Ran Bi, Marius Silaghi
36th Florida Conference on Recent Advances in Robotics
A framework based on a Probabilistic Model for the moving be- havior of the NAO humanoid robot in the environment given by 20in × 20in vinyl maze cells was proposed in a recent work of our group and here it is further expanded with additional support data and model refinements. We also contribute additional tests supporting evidence that it is possible to exploit a public NAO sensor database made recently available, to build a sample probabilistic model for walking and turning in a controlled vinyl maze. The probabilistic model is a new and powerful representation of related phenomena based on …
Towards Sensor And Motion Measurements Databases For Training Models For The Nao Robot, Kholud Alghamdi, Jesse Torres, Justin Burden, Venkata Maddineni, Roba Alharbi, Tejeswar Neelam, Peter Tarsoly, Abdullah Alhaif, Joseph Nke, Soham Jadhav, Sai Dodle, Marius Silaghi
Towards Sensor And Motion Measurements Databases For Training Models For The Nao Robot, Kholud Alghamdi, Jesse Torres, Justin Burden, Venkata Maddineni, Roba Alharbi, Tejeswar Neelam, Peter Tarsoly, Abdullah Alhaif, Joseph Nke, Soham Jadhav, Sai Dodle, Marius Silaghi
36th Florida Conference on Recent Advances in Robotics
High quality probabilistic models for a complex robot like Alde- baran’s Nao humanoid depend heavily on details from its envi- ronment, involving multiple parameters. Building such models re- quires significant effort with data gathering and data cleaning. We propose to create a public database of NAO sensor data that can be used by researchers and engineers training models for localization, mapping, and planning in controlled environments. Here we report on our release of a database with sensor data, parameterized by en- vironment configuration and nature. The database contains struc- tured folders with documentation, measurements, Nao AI feedback, and data management …