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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-06202018-210004


Tipo di tesi
Tesi di laurea magistrale
URN
etd-06202018-210004
Titolo
State Estimation Design for COMAN Robot
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA ROBOTICA E DELL'AUTOMAZIONE
Parole chiave
  • IMU
  • Kalman Filter
  • navigazione
  • robot
  • stima
  • umanoide
Data inizio appello
19/07/2018
Consultabilità
Completa
Riassunto (Inglese)
Riassunto (Italiano)
The main objective of this work is to design and implement a state estimator on the humanoid robot COMAN. First we tested a state estimator based on data recorded from a walking gait offline in Matlab environment. The data used came from IMU and leg kinematics. Subsequently, we compared the results with the results coming from the motion capture and implemented it in the online controller developed in C++. Most of the challenges were found on the hardware: indeed, the presence of backlash in the joints founds is reflected in difficulties in precision and need for a careful tuning of the Kalman Filter used for the estimation. In conclusion, the whole work is tested on the robot to see how it affects the controller.
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