Stephanie Kamarry Alves De Sousa

Universidade Federal de Campina Grande

Papers

1

Total Citations

5

H-Index

1

About

Stephanie Kamarry Alves De Sousa is a robotics researcher whose work focuses on advancing multi-robot systems for cooperative manipulation and navigation. Her key research areas include cooperative object transportation, obstacle avoidance, and decentralized control strategies for robotic swarms. In her most-cited paper, "Two-Layers Workspace: A New Approach to Cooperative Object Transportation With Obstacle Avoidance for Multi-Robot System" (2022, 5 citations), she introduced a novel framework that enables multiple robots to collaboratively transport an overhead object while safely navigating around obstacles that pose risks only to the transporting robots, not the entire group. This contribution addresses a critical gap in multi-robot coordination, offering a more efficient and safer method for real-world applications such as warehouse logistics and search-and-rescue operations. Her work demonstrates a keen ability to design scalable, practical solutions for complex robotic challenges. As an emerging researcher, Sousa’s innovative approach to workspace layering and cooperative control is laying the groundwork for more adaptive and resilient multi-robot teams, making her a promising voice in the field of autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Two-Layers Workspace: A New Approach to Cooperative Object Transportation With Obstacle Avoidance for Multi-Robot System
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Universidade Federal de Campina Grande

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago