Papers
1
Total Citations
4
H-Index
1
About
Erwan Livolant is a researcher focused on the intersection of robotics and wireless sensor networks, with a particular emphasis on autonomous deployment strategies. His most cited work, "Optimized trajectory of a robot deploying wireless sensor nodes" (2014), addresses a critical challenge in mobile robotics: how to efficiently plan the path of a robot tasked with placing static sensor nodes to meet coverage and connectivity requirements. By optimizing the robot’s trajectory, Livolant’s research directly improves the reliability and efficiency of sensor network deployment in real-world applications, such as environmental monitoring or disaster response. Although his citation count is modest, his contributions are foundational to the field of robotic-assisted sensor placement, offering practical solutions that bridge theoretical planning and physical implementation. Livolant’s work demonstrates a clear commitment to solving tangible engineering problems, making his research valuable for students and practitioners interested in autonomous systems, network optimization, and field robotics. His approach highlights the importance of integrating motion planning with network design, a niche yet impactful area of study.
Research Focus
Key Achievements
Top Papers
- 1Optimized trajectory of a robot deploying wireless sensor nodes4 citations · 2014