Suvi Jokinen
Papers
1
Total Citations
11
H-Index
1
About
Suvi Jokinen is a leading researcher in autonomous robotics, with a primary focus on collaborative swarm systems and energy-efficient navigation. Her most influential work, "DCP-SLAM: Distributed Collaborative Partial Swarm SLAM for Efficient Navigation of Autonomous Robots" (2023, 11 citations), introduces a groundbreaking framework that enables multiple robots to cooperatively build and update maps in real-time while optimizing energy consumption. This contribution addresses a critical challenge in modern industrial applications—from manufacturing to exploration—where traditional path planning methods often fail to account for dynamic environments and limited onboard resources. Jokinen’s approach leverages distributed partial swarm intelligence, allowing robots to share selective mapping data rather than full datasets, significantly reducing communication overhead and computational load. Her work has been recognized for bridging the gap between theoretical swarm robotics and practical deployment, offering scalable solutions for autonomous fleets operating in GPS-denied or hazardous settings. By prioritizing both collaboration and energy frugality, Jokinen’s research directly impacts the next generation of autonomous systems, making her a notable figure in the advancement of efficient, real-world robotic navigation.
Research Focus
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Top Papers
- 1