Bourhane Kadmiry
Papers
9
Total Citations
129
H-Index
5
About
Bourhane Kadmiry is a leading researcher in robotics, specializing in Programming by Demonstration (PbD), intelligent manipulation, and autonomous systems for industrial and agricultural applications. His major contributions include developing methods to simplify robot programming through human demonstration, such as using task primitives for pick-and-place operations (39 citations) and fuzzy time-modeling for skill recognition and teaching (36 citations). Kadmiry has also pioneered soft peristaltic actuation for robotic sorting of ovine offal in meat processing (28 citations), addressing a critical gap in automating delicate, non-rigid material handling. His work extends to agricultural robotics, with vision-based approaches for crop localization and manipulation (5 citations), and robust navigation for skid-steered mobile robots using fuzzy gain-scheduled EKF (3 citations). Notably, Kadmiry has explored biologically inspired frameworks, such as Mirror Neuron System principles for grasp recognition (5 citations), and combined fuzzy modeling with Hidden Markov Models for advanced grasp analysis (2 citations). With over 100 total citations, his research has significantly advanced human-robot interaction, soft robotics, and autonomous manipulation, making him a key figure in bridging demonstration-based learning and real-world industrial and agricultural automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Recognition of human grasps by time-clustering and fuzzy modeling36 citations · 2008
- 3Robotic Sorting of Ovine Offal: Discussion of a Soft Peristaltic Approach28 citations · 2014
- 4Recognition and Teaching of Robot Skills by Fuzzy Time-Modeling6 citations · 2009
- 5
- 6Soft Peristaltic Actuation for the Harvesting of Ovine Offal5 citations · 2015
- 7
- 8Fuzzy gain scheduled EKF for model-based Skid-Steered Mobile Robot3 citations · 2015
- 9Grasp Recognition by Fuzzy Modeling and Hidden Markov Models2 citations · 2010