David Kinny
Papers
1
Total Citations
3
H-Index
1
About
David Kinny is a researcher whose work bridges artificial intelligence, multi-agent systems, and swarm robotics, with a particular focus on energy-efficient coordination in autonomous systems. His most cited paper, "Energy-Based Particle Swarm Optimization: Collective Energy Homeostasis in Social Autonomous Robots" (2013), introduces a novel approach to managing energy distribution in robot swarms. By drawing inspiration from particle swarm optimization and biological homeostasis, Kinny addresses a critical challenge: ensuring that individual robots and groups maintain balanced energy levels during missions. This work has accumulated 3 citations, reflecting its niche but foundational role in the field. Kinny’s contributions are notable for their interdisciplinary nature, combining principles from robotics, optimization, and collective behavior. His research has practical implications for long-duration autonomous missions, where uneven energy consumption can jeopardize mission success. While his citation count is modest, the conceptual depth of his work—particularly in integrating energy homeostasis into swarm intelligence—marks him as a thoughtful contributor to the robotics community. For students and researchers exploring energy-aware multi-robot systems, Kinny’s ideas offer a compelling starting point for designing more resilient autonomous collectives.
Research Focus
Key Achievements
Top Papers
- 1