Costa Njc
Papers
1
Total Citations
3
H-Index
1
About
Costa Njc is a researcher in multi-agent robotics, with a focus on cooperative task allocation and decentralized navigation systems. Their most cited work, "Scalable task clean-up assignment for multi-agents" (2018, 3 citations), introduces an efficient algorithm for coordinating a team of robots to clean a simulated environment without relying on vision sensors. By leveraging a modified A* pathfinding approach, Costa demonstrates how agents can autonomously navigate and collaborate to clear ground debris, highlighting the potential for low-cost, sensor-free robotic swarms in maintenance and environmental cleanup tasks. This contribution addresses key challenges in scalability and communication overhead, offering a practical framework for real-world deployment. While their citation count is modest, the work underscores a commitment to accessible, robust multi-agent solutions. Costa’s research continues to explore the intersection of path planning and cooperative behavior, aiming to reduce hardware dependencies while maximizing team efficiency. For students and researchers in robotics, Costa Njc’s work provides a clear example of how algorithmic innovation can drive progress in autonomous systems, even in resource-constrained settings.
Research Focus
Key Achievements
Top Papers
- 1Scalable task clean-up assignment for multi-agents3 citations · 2018