Sadman Sakib

Papers

Total Citations

H-Index

About

Sadman Sakib’s research sits at the intersection of robotics, knowledge representation, and automated task planning. His most cited work, “Evaluating Recipes Generated from Functional Object-Oriented Network” (2021), advances the functional object-oriented network (FOON)—a graph-based knowledge representation that enables robots to derive sequential manipulation plans. By refining how robots retrieve and evaluate task trees from FOON, Sakib has contributed to making symbolic planning more reliable and interpretable for real-world applications. Though his citation count is still growing, his work is foundational for researchers exploring how machines can understand and execute complex, multi-step tasks from abstract knowledge structures. Sakib’s focus on evaluating generated recipes highlights a practical commitment to bridging the gap between theoretical knowledge graphs and deployable robotic systems. His contributions are particularly relevant for students and researchers working in cognitive robotics, human-robot interaction, and AI-driven automation, offering a clear pathway from symbolic representation to actionable robot behavior.