Farid Sharifi
Papers
2
Total Citations
7
H-Index
2
About
Farid Sharifi’s research focuses on the control and coordination of multi-agent robotic systems, with key contributions in decentralized control, communication delays, and distributed manipulation. His most cited work, “Decentralized Sliding Control of Cooperative Multi-Agent Systems Subject to Communication Delays” (2010, 4 citations), addresses a critical challenge in multi-robot cooperation: maintaining formation and task objectives when inter-agent communication is delayed or faulty. Sharifi proposes a novel decentralized sliding mode control algorithm that ensures robust cooperation even under significant network delays, advancing the reliability of multi-agent systems in real-world applications. In an earlier study, “Distributed form closure for convex planar objects through reinforcement learning with local information” (2005, 3 citations), he explores multi-robot grasping of large objects in unstructured environments. This work introduces an agent-based approach using reinforcement learning to achieve form closure grasps for planar convex objects with only local information, demonstrating practical solutions for cooperative manipulation. Though his citation counts are modest, Sharifi’s contributions are foundational to decentralized control and distributed robotics, offering algorithms that enhance system resilience and autonomy. His work is particularly relevant for researchers in cooperative robotics, networked control, and intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
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