Erhan İlhan Konukseven

Dr. Erhan İlhan Konukseven


Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2015 in Computers and Electronics in Agriculture
Verified
Journal Article
Closed access
GBGokhan Bayar
Gokhan Bayar
MBMarcel Bergerman
Marcel Bergerman
AKA. Bugra Koku
A. Bugra Koku
EKErhan İlhan Konukseven
Erhan İlhan Konukseven


1 June 2016 in Biosystems Engineering
Verified
Journal Article
Closed access
GBGokhan Bayar
Gokhan Bayar
MBMarcel Bergerman
Marcel Bergerman
EKErhan İlhan Konukseven
Erhan İlhan Konukseven
AKAhmet B. Koku
Ahmet B. Koku

1 June 2010 in Mechanism and Machine Theory
Verified
Journal Article
Closed access
OBOzgur Baser
Ozgur Baser
EKErhan İlhan Konukseven
Erhan İlhan Konukseven

6 March 2018 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
MASOUD LATIFINAVIDMASOUD LATIFINAVID
MASOUD LATIFINAVID
ADAbdulhamit Donder
Abdulhamit Donder
EKErhan İlhan Konukseven
Erhan İlhan Konukseven

1 April 2013
Verified
Conference Paper
Closed access
AHAkif Hacinecipoglu
Akif Hacinecipoglu
EKErhan İlhan Konukseven
Erhan İlhan Konukseven
AKA. B. Koku
A. B. Koku
Teleoperation of an unmanned vehicle is a challenging task for human operators especially when the vehicle is not within line of sight. Lack of situational awareness and increased workload due to limited perception channels result in degraded task performance. If these teleoperation missions are human-critical then it becomes more important to improve the operator performance by decreasing workload and improving situational awareness. In this paper, a new teleoperation interface which provides force feedback based on the path generated by an obstacle avoidance algorithm is presented. The purpose of this interface is to overcome the difficulties imposed by limited field of view and lack of situational awareness. Teleoperation tests are performed to verify that haptic feedback generated from the dynamic obstacle information of the environment improves teleoperation performance by supporting the operator and decreasing the workload.