Farzam Janati

Amirkabir University of Technology

Papers

2

Total Citations

51

H-Index

2

About

Farzam Janati is a researcher whose work sits at the intersection of multi-robot coordination and novel robotic locomotion. His most influential contribution, the 2016 paper "Multi-robot Task Allocation Using Clustering Method," has garnered 44 citations, establishing a foundation for efficient, decentralized coordination in multi-agent systems. This work addresses the critical challenge of how groups of robots can autonomously divide and conquer tasks, a problem central to applications from warehouse automation to environmental monitoring. Janati has also made notable strides in the niche but growing field of spherical robotics. His 2018 study on a pendulum-driven spherical robot, despite its modest 7 citations, tackles the complex control and impedance estimation challenges inherent in these unique platforms—robots prized for their omnidirectional movement, maneuverability, and silent operation. By advancing both the theoretical frameworks for swarm coordination and the practical control of unconventional robot morphologies, Janati demonstrates a versatile engineering approach. His work is particularly relevant for researchers exploring the intersection of distributed intelligence and novel mechanical design.

Research Focus

Key Achievements

2
H-Index
2
Papers
51
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Multi-robot Task Allocation Using Clustering Method
44 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Amirkabir University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago