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About

Badreddine Aboulissane is a robotics researcher whose work centers on the analysis, optimization, and performance evaluation of parallel and serial robot manipulators. His research has made significant strides in workspace modeling, trajectory planning, and kinematic analysis — areas critical to advancing the practical deployment of robotic systems in industrial and engineering contexts. Among his most influential contributions is his development of CAD-based methodologies for workspace optimization of parallel robots, leveraging CATIA software to model and analyze reachable workspaces for manipulators such as the DELTA robot. These papers, accumulating 20 and 16 citations respectively, have established accessible computational frameworks that bridge theoretical kinematics with practical design tools. His 2019 work on optimal trajectory planning for spherical robots, which employs evolutionary algorithms to determine efficient motion paths for three-degree-of-freedom wrist mechanisms, has drawn 13 citations and highlights his interest in intelligent optimization techniques. Additionally, his performance evaluation of the 3-UPU parallel manipulator through quaternion-based workspace representation and Jacobian analysis demonstrates his rigorous approach to quantifying robotic capability. With a growing citation record and a focus on both spatial and planar parallel mechanisms, Aboulissane represents an emerging voice in computational robotics and mechanism design research.