Andrea L. Bertozzi
Duke University, University of California, Los Angeles, Toronto Metropolitan University
Papers
11
Total Citations
301
H-Index
7
About
Andrea L. Bertozzi is a leading researcher in the fields of cooperative robotics, swarm intelligence, and decentralized control systems. Her major contributions center on developing theoretical frameworks and practical platforms for coordinating large groups of autonomous robots without central oversight. She pioneered the use of virtual attractive-repulsive potentials (VARP) for motion planning of second-order dynamic vehicles, demonstrated on the Caltech Multi-Vehicle Wireless Testbed (46 citations). Bertozzi also introduced a groundbreaking stochastic control approach enabling robot swarms to achieve target density distributions using only scalar field measurements, without communication or localization (33 citations). Her work on determining environmental boundaries through asynchronous communication (94 citations) and the development of the Pheeno platform—a versatile, low-cost swarm robotic system for research and education (73 citations)—have been particularly influential. Bertozzi has also contributed to bio-inspired models, including a spatiotemporal chemotactic framework for ant foraging behavior. Her research bridges theory and experiment, with notable achievements in quantitative swarm coverage assessment and internet-mediated robot coordination, making her a pivotal figure in advancing practical swarm robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Pheeno, A Versatile Swarm Robotic Research and Education Platform73 citations · 2016
- 3
- 4
- 5Robotic Path Planning and Visibility with Limited Sensor Data19 citations · 2007
- 6Spatiotemporal chemotactic model for ant foraging10 citations · 2014
- 7Quantitative Assessment of Robotic Swarm Coverage7 citations · 2018
- 8Robot swarming over the Internet6 citations · 2012
- 9
- 10Pattern Formation Stability and Collapse in 2D Driven Particle Systems4 citations · 2007