Mark Sabbagh
Papers
2
Total Citations
11
H-Index
2
About
Mark Sabbagh is a rising figure in soft robotics and autonomous navigation, whose work bridges computational design and real-time control. His primary research areas include soft robotic manipulators, bio-inspired mechanisms, and path planning algorithms for autonomous systems. Sabbagh’s most notable contribution is the development of a novel 3-degree-of-freedom soft parallel robot, inspired by the delta robot structure, which overcomes the structural limitations of traditional soft serial arms. This work, published in 2024, has already garnered 7 citations, signaling its early impact on the field of compliant robotics. In parallel, Sabbagh advanced autonomous navigation with a flow-field-based path planning approach that eliminates the common “obstacle hugging” behavior, enhancing the safety and efficiency of robotic movement in known environments. His 2020 paper on this method has earned 4 citations. By integrating computational design, fabrication, and position control, Sabbagh is helping to make soft robots more precise and practical for real-world applications. His achievements mark him as an innovator in creating robots that are both flexible and functionally robust.
Research Focus
Key Achievements
Top Papers
- 1
- 2Real Time Voronoi-like Path Planning Using Flow Field and A4 citations · 2020