Imperial College London


Faculty of EngineeringDyson School of Design Engineering




+44 (0)20 7594 9235p.kormushev Website




156Roderic Hill BuildingSouth Kensington Campus






BibTex format

author = {Carrera, A and Ahmadzadeh, SR and Ajoudani, A and Kormushev, P and Carreras, M and Caldwell, DG},
doi = {10.2478/cait-2012-0018},
journal = {Cybernetics and Information Technologies},
pages = {17--26},
title = {Towards autonomous robotic valve turning},
url = {},
volume = {12},
year = {2012}

RIS format (EndNote, RefMan)

AB - In this paper an autonomous intervention robotic task to learn the skill of grasping and turning a valve is described. To resolve this challenge a set of different techniques are proposed, each one realizing a specific task and sending information to the others in a Hardware-In-Loop (HIL) simulation. To improve the estimation of the valve position, an Extended Kalman Filter is designed. Also to learn the trajectory to follow with the robotic arm, Imitation Learning approach is used. In addition, to perform safely the task a fuzzy system is developed which generates appropriate decisions. Although the achievement of this task will be used in an Autonomous Underwater Vehicle, for the first step this idea has been tested in a laboratory environment with an available robot and a sensor.
AU - Carrera,A
AU - Ahmadzadeh,SR
AU - Ajoudani,A
AU - Kormushev,P
AU - Carreras,M
AU - Caldwell,DG
DO - 10.2478/cait-2012-0018
EP - 26
PY - 2012///
SN - 1311-9702
SP - 17
TI - Towards autonomous robotic valve turning
T2 - Cybernetics and Information Technologies
UR -
UR -
VL - 12
ER -