Carefree Maneuvering using Adaptive Neural Nets

AIAA Atmospheric Flight Mechanics Conference and Exhibir (5 - 8 August 2002)


Carefree Maneuvering Using Neural Networks
Yavrucuk, İlkay (2002-08-05)
Caregiving Behavior Profiles in Turkish Culture
SALMAN ENGİN, SELİN; Selçuk, Emre; Kazak Berument, Sibel; Sümer, Nebi; DOĞRUYOL, BURAK (2008-07-17)
Foothold selection for quadruped robots based on feasible ground reaction force sets
Davulcu, Furkan; Saranlı, Uluç; Department of Computer Engineering (2022-8)
Legged robots mainly control their speed and posture only at the stance phase, when their feet touch the ground, by producing desired forces on the body using ground reaction forces. However, the selection of footholds affects the forces that can be put on the body during the stance phase. This thesis presents a new foothold selection framework that selects footholds considering the friction cone, motor limits, and leg geometry to help the stance controllers control the speed and posture of the robot more e...
Preventive Replacement Decisions for Dragline Components Using Reliability Analysis
Demirel, Nuray; Gölbaşı, Onur (2016-06-01)
Reliability-based maintenance policies allow qualitative and quantitative evaluation of system downtimes via revealing main causes of breakdowns and discussing required preventive activities against failures. Application of preventive maintenance is especially important for mining machineries since production is highly affected from machinery breakdowns. Overburden stripping operations are one of the integral parts in surface coal mine productions. Draglines are extensively utilized in overburden stripping ...
Hyperspectral Unmixing Based Analysis of Forested Areas
Başkurt, Nur Didem; Omruuzun, Fatih; Çetin, Yasemin (2015-05-19)
This study aims to extract the planted regions in partially forested area by analyzing the hyperspectral remote sensing images acquired with airborne platforms. The proposed study utilizes the endmember signatures obtained from hyperspectral unmixing algorithms in order to classify the image pixels. The classification algorithm selects the endmember with highest spectral vegetation characteristic, and associates this endmember with the planted area pixels. The algorithm is tested on a scene covering METU An...
Citation Formats
İ. Yavrucuk, “Carefree Maneuvering using Adaptive Neural Nets,” presented at the AIAA Atmospheric Flight Mechanics Conference and Exhibir (5 - 8 August 2002), Monterey, California U.S.A, 2002, Accessed: 00, 2021. [Online]. Available: