Items where Author is "Hashlamon, Iyad"

Hashlamon, Iyad and Erbatur, Kemalettin (2017) Reduced filtered dynamic model for joint friction estimation of walking bipeds. Jordan Journal of Mechanical and Industrial Engineering, 11 (3). pp. 147-154. ISSN 1995-6665

Hashlamon, Iyad and Gülhan, Mert Mehmet and Ayit, Orhan and Erbatur, Kemalettin (2017) A novel method for slip prediction of walking biped robots. Robotica, 35 (4). pp. 766-786. ISSN 0263-5747 (Print) 1469-8668 (Online)

Hashlamon, Iyad and Erbatur, Kemalettin (2016) Joint friction estimation for walking bipeds. Robotica, 34 (7). pp. 1610-1629. ISSN 0263-5747 (Print) 1469-8668 (Online)

Hashlamon, Iyad and Erbatur, Kemalettin (2016) An improved real-time adaptive Kalman filter with recursive noise covariance updating rules. Turkish Journal of Electrical Engineering & Computer Sciences, 24 (2). pp. 524-540. ISSN 1300-0632 (Print) 1303-6203 (Online)

Hashlamon, Iyad and Erbatur, Kemalettin (2014) Joint sensor fault detection and recovery based on virtual sensor for walking legged robots. In: IEEE 23rd International Symposium on Industrial Electronics (ISIE 2014), Istanbul, Turkey

Hashlamon, Iyad and Erbatur, Kemalettin (2014) An optimal estimation of feet contact distributed normal reaction forces of walking bipeds. In: IEEE International Symposium on Industrial Electronics (ISIE 2014), Istanbul, Turkey (Accepted)

Hashlamon, Iyad and Erbatur, Kemalettin (2013) Ground reaction force sensor fault detection and recovery method based on virtual force sensor for walking biped robots. In: 9th Asian Control Conference (ASCC 2013), Istanbul, Turkey

Hashlamon, Iyad and Erbatur, Kemalettin (2013) Simple virtual slip force sensor for walking biped robots. In: 9th Asian Control Conference (ASCC 2013), Istanbul, Turkey

Hashlamon, Iyad and Erbatur, Kemalettin (2013) Center of mass states and disturbance estimation for a walking biped. In: IEEE International Conference on Mechatronics (ICM 2013), Vicenza, Italy

Hashlamon, Iyad (2010) Experimental verification of an orientation estimation technique for autonomous robotic platforms. [Thesis]