Judhi Prasetyo
Papers
7
Total Citations
51
H-Index
4
About
Judhi Prasetyo’s research bridges the gap between theoretical swarm intelligence and real-world robotic applications, with a focus on collective decision-making and sustainable automation. His most influential work, “The Best-of-n Problem with Dynamic Site Qualities” (2018, 19 citations), introduces a groundbreaking model where “stubborn” agents enhance adaptability in robot swarms—a key insight for systems requiring resilience in changing environments. Building on this, his 2021 study on robot swarm democracy (15 citations) examines how informed individuals counterbalance “zealots” to achieve consensus, offering a foundational framework for distributed AI. Beyond theory, Prasetyo applies robotics to pressing environmental challenges: his 2023 paper on e-waste recycling (4 citations) uses a 6-axis manipulator and OpenCV to automate disassembly, while his humanoid robot for food quality detection (2023, 4 citations) tackles food waste with AI. More recently, his 2024 robotic hand for impaired users (2 citations) and 2025 battery sorting system “RoBatt” (1 citation) demonstrate a commitment to assistive and circular-economy technologies. With a citation trajectory reflecting growing recognition, Prasetyo’s work stands out for its dual impact—advancing swarm robotics theory while engineering practical solutions for waste reduction, accessibility, and sustainability.
Research Focus
Key Achievements
Top Papers
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- 2
- 3Group-Size Regulation in Self-organized Aggregation in Robot Swarms6 citations · 2020
- 4Robotic Solution for the Automation of E-waste Recycling4 citations · 2023
- 5
- 6Robotic Hand Solution for Impaired Hands2 citations · 2024
- 7RoBatt: Battery Sorting Robot using Epson VT6 and YOLO v81 citations · 2025