Avi Rosenfeld
Papers
6
Total Citations
158
H-Index
4
About
Avi Rosenfeld is a leading researcher in multi-robot systems, focusing on adaptive coordination, communication, and interference management to enhance robotic team performance. His work addresses a fundamental challenge: enabling robots to collaborate effectively in dynamic, uncertain environments, particularly when spatial conflicts arise. Rosenfeld’s most impactful contribution, "Making friends on the fly: Cooperating with new teammates" (67 citations), explores how robotic teams can rapidly adapt to unfamiliar partners, a critical capability for real-world deployment. His earlier studies, including "A study of mechanisms for improving robotic group performance" (38 citations) and "A Study of Scalability Properties in Robotic Teams" (36 citations), provide foundational insights into how coordination strategies scale with team size. Rosenfeld also pioneered the use of interference metrics to guide adaptive robot coordination, as detailed in his 2004 work (12 citations), which offers a quantitative measure for minimizing spatial conflicts. His later research on adaptive communication for trajectory planning and collision avoidance (e.g., 2019, 2 citations) further demonstrates his commitment to practical, robust solutions. With a career spanning over two decades, Rosenfeld’s work has shaped how robotic teams handle real-time coordination, making him a key figure in advancing autonomous multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1Making friends on the fly: Cooperating with new teammates67 citations · 2016
- 2A study of mechanisms for improving robotic group performance38 citations · 2007
- 3A Study of Scalability Properties in Robotic Teams36 citations · 2006
- 4Adaptive robot coordination using interference metrics12 citations · 2004
- 5
- 6Two Adaptive Communication Methods for Multi-Robot Collision Avoidance2 citations · 2019