Danilo H. Perico
Papers
14
Total Citations
114
H-Index
8
About
Danilo H. Perico is a robotics researcher whose work centers on humanoid robot development, computer vision, machine learning, and cognitive robotics, with a particular focus on competitive robotic soccer through the RoboCup Humanoid KidSize League. His most recognized contribution is the design and development of Newton, a fully integrated humanoid robot platform built for both research and competition, detailed across multiple influential publications covering its hardware architecture, software frameworks, and vision systems. Perico's 2014 monocular vision system paper, his most cited work with 17 citations, demonstrated a practical approach to real-time object recognition and spatial estimation on resource-constrained robotic platforms. He has also advanced the application of reinforcement learning in humanoid locomotion, notably improving robot stability on sloped terrain, and more recently explored deep reinforcement learning for soccer gameplay. His work on lightweight neural networks for ball detection under constrained hardware conditions reflects a strong applied sensibility. Additionally, Perico has contributed to cognitive robotics through case-based reasoning frameworks and simulation tools based on the Cross Architecture. Collectively, his research addresses the full stack of autonomous humanoid robotics, from physical design to intelligent behavior, accumulating over 100 citations across his career.
Research Focus
Key Achievements
Top Papers
- 1A Single Camera Vision System for a Humanoid Robot17 citations · 2014
- 2Deep Reinforcement Learning for a Humanoid Robot Soccer Player13 citations · 2021
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- 4Humanoid Robot Framework for Research on Cognitive Robotics12 citations · 2018
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