Papers
12
Total Citations
200
H-Index
7
About
Ekrem Misimi is a leading researcher at the intersection of robotics, computer vision, and food processing automation. His work focuses on developing intelligent robotic systems capable of handling and processing deformable, natural objects—particularly food products like chicken, salmon, and cod fillets. Misimi’s major contributions include pioneering vision-guided robotic harvesting of chicken fillets (GRIBBOT, 60 citations) and introducing a novel method for transferring deep reinforcement learning grasping agents from simulation to reality using CycleGANs (40 citations). He has also advanced automated quality inspection, developing robust classification approaches for detecting blood defects in cod fillets using deep convolutional neural networks (23 citations), and created machine vision systems for automated salmonid slaughter lines (21 citations). His work on GPU-accelerated 3D registration for compliant food objects (14 citations) and haptic-enabled learning from human demonstrations (9 citations) further demonstrates his impact. With over 200 total citations, Misimi’s research directly addresses the challenges of automating highly manual, repetitive tasks in food production, making him a key figure in the field of agricultural and food robotics.
Research Focus
Key Achievements
Top Papers
- 1GRIBBOT – Robotic 3D vision-guided harvesting of chicken fillets60 citations · 2015
- 2
- 3
- 4An automated salmonid slaughter line using machine vision21 citations · 2011
- 5Towards robotic post-trimming of salmon fillets20 citations · 2016
- 6
- 7
- 8Vision-based approaches for cutting food products with robots: A review4 citations · 2025
- 9
- 10