Karlisa Priandana
Papers
19
Total Citations
79
H-Index
5
About
Karlisa Priandana is a robotics and computational intelligence researcher whose work spans autonomous mobile robots, multi-robot systems, and intelligent control frameworks. His research addresses foundational challenges in robot motion and coordination, most notably demonstrated through his work on hexapod locomotion using tripod-gait algorithms and inverse kinematics (12 citations), which offered an accessible yet effective approach to multi-legged robot movement. Priandana has made significant contributions to autonomous control systems, developing neural network-based controllers trained via backpropagation for wheeled robots (9 citations) and applying reinforcement learning through a modified Q-Learning algorithm for real-time mobile robot path planning (4 citations). His work extends into swarm intelligence and multi-robot coordination, integrating Particle Swarm Optimization variants for task allocation and collaborative search problems. Notably, Priandana has applied his expertise to socially impactful domains, including search-and-rescue robotics using thermal imaging for landslide victim detection, agricultural seed-planting robots, and large-scale environmental monitoring through robotic sensor networks (6 citations). With a cumulative body of work spanning over 50 citations, Priandana's research bridges theoretical robotics with practical, real-world applications across humanitarian, agricultural, and environmental contexts.
Research Focus
Key Achievements
Top Papers
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- 9Kendali Robot Beroda Otonom dengan Inverse Kinematics3 citations · 2020
- 10Development of a seed-planter wheeled robot prototype3 citations · 2019