Gina M. B. Oliveira
Papers
21
Total Citations
287
H-Index
10
About
Gina M. B. Oliveira is a prominent researcher specializing in swarm robotics, cellular automata, and bio-inspired computational models. Her work sits at the intersection of artificial intelligence and autonomous systems, where she has made significant contributions to multi-robot coordination, path planning, and collective behavior. Oliveira is perhaps best known for developing cellular automata-based models that enable decentralized robot swarms to perform complex tasks through purely local interactions. Her most celebrated contribution, a cellular automata ant memory model of foraging behavior (2017, 66 citations), demonstrated how stigmergic communication — inspired by ant colonies — can elegantly coordinate large robot teams without centralized control. Building on this foundation, she pioneered the IACA-DI (Inverted Ant Cellular Automata with Discrete pheromone diffusion and Inertial motion) framework, which applies repulsive pheromone mechanics to surveillance tasks, enabling robots to efficiently cover unknown environments. Her research extends to formation control, path planning, and heterogeneous robot teams, with evolutionary algorithms and genetic approaches further enriching her toolkit. Collectively, her papers have amassed over 200 citations, reflecting genuine impact on the multi-robot systems community. Her work offers elegant, scalable solutions to coordination problems that remain central challenges in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1A cellular automata ant memory model of foraging in a swarm of robots66 citations · 2017
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- 4An Improved Cellular Automata-Based Model for Robot Path-Planning24 citations · 2014
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- 10An Improved Robot Path Planning Model Using Cellular Automata10 citations · 2018