Janderson Rodrigo de Oliveira

About

Janderson Rodrigo de Oliveira is a robotics and artificial intelligence researcher whose work centers on multi-robot systems, swarm intelligence, and autonomous navigation. His most significant contributions lie in developing distributed coordination strategies for robot teams performing exploration and surveillance tasks in unknown environments, drawing inspiration from ant colony optimization (ACO) theory to guide robotic agents toward unexplored or infrequently visited regions. Oliveira's most cited work, published in 2011, introduced a bio-inspired coordination framework that dynamically adapts to changes in robot population or environmental conditions, accumulating 11 citations. Complementary studies explored parametric variations of this strategy and an inverse ACO formulation, each garnering 9 citations, demonstrating sustained scholarly interest in his core methodology. His 2014 research advanced the field further by proposing a novel pheromone-map integration method enabling multiple robots to collaboratively build environmental maps through inter-robot observation, while additional work examined self-adaptive formation systems for cooperative mapping. An earlier contribution on image skeletonization for topological map generation reflects his broader interest in autonomous navigation paradigms. Collectively, Oliveira's research addresses fundamental challenges in scalable, decentralized robotics, offering practical tools for search, rescue, and monitoring applications where centralized control is impractical.

Research Focus

Key Achievements

Top Papers

1. 1
   A distributed, bio-inspired coordination strategy for multiple agent systems applied to surveillance tasks in unknown environments

   11 citations · 2011
2. 2
   Parametric investigation of a distributed strategy for multiple agents systems applied to cooperative tasks

   9 citations · 2014
3. 3
   Inverse ACO Applied for Exploration and Surveillance in Unknown Environments

   9 citations · 2011
4. 4
   Integration of virtual pheromones for mapping/exploration of environments by using multiple robots

   7 citations · 2014
5. 5
   Image skeletonization method applied to generation of topological maps

   5 citations · 2009
6. 6
   An Approach for Coordinating of the Cooperative Mapping in a Self-Adaptive Formation System Based on a Modification of the Ant Colony Algorithm

   2 citations · 2014

Key Collaborators

Contact & Links