Behnoush Rezaeian Jouybari
Papers
1
Total Citations
15
H-Index
1
About
Behnoush Rezaeian Jouybari is a robotics researcher whose work centers on the design, kinematics, and optimization of reconfigurable robotic manipulators. Her most cited paper, "Optimization of kinematic redundancy and workspace analysis of a dual-arm cam-lock robot" (2014, 15 citations), addresses a fundamental challenge in cooperative robotics: how to optimally control a Dual-Arm Cam-Lock (DACL) robot—a reconfigurable system where two arms can either operate independently or lock together to form a single, more powerful structure. In this work, Jouybari developed methods for optimizing the trajectory of this hybrid robot by leveraging its kinematic redundancy, while also analyzing its workspace to understand the full range of achievable motions. This contribution is significant because it provides a framework for maximizing the versatility and efficiency of robots that can reconfigure their morphology on the fly, a key capability for tasks requiring both dexterity and strength. Her research offers valuable insights for the design of adaptable, multi-arm robotic systems used in manufacturing, assembly, and other applications where flexibility is paramount.
Research Focus
Key Achievements
Top Papers
- 1