Papers
2
Total Citations
14
H-Index
1
About
Jans Solano is a rising researcher at the intersection of autonomous robotics and intelligent sensing, whose work bridges classical control theory and modern artificial intelligence. In their highly cited 2023 study, *A Comparison Study between Traditional and Deep-Reinforcement-Learning-Based Algorithms for Indoor Autonomous Navigation in Dynamic Scenarios*, Solano tackled a foundational decision-point for mobile robotics: whether to rely on traditional control algorithms or emerging AI-based approaches. This work, which has already garnered 13 citations, provides critical guidance for engineers and researchers navigating the computational trade-offs in autonomous navigation systems. More recently, Solano has ventured into the domain of soft robotics and human-like perception. Their 2025 paper, *Adding Internal Audio Sensing to Internal Vision Enables Human-Like In-Hand Fabric Recognition with Soft Robotic Fingertips*, demonstrates a novel multimodal approach that combines internal audio and visual sensing to replicate the human ability to distinguish fabrics by touch. This innovative work, though early in its citation life, points toward a future where robots can perceive texture with near-human fidelity. Solano’s contributions are shaping how robots navigate dynamic environments and interact with the physical world, making their research essential reading for students and engineers advancing autonomous systems and soft robotics.
Research Focus
Key Achievements
Top Papers
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