Danish Shaikh
Papers
16
Total Citations
126
H-Index
6
About
Danish Shaikh is a researcher whose work sits at the fascinating intersection of biorobotics, neuroscience, and modular robotics, with a particular focus on auditory processing and adaptive robotic systems. His most influential contributions center on modeling biological auditory systems in robots, notably through his work on "Braitenberg Lizard" models that replicate lizard phonotaxis—how animals navigate toward sound sources using simple neural circuits. Shaikh's 2016 review "From 'ear' to there" (22 citations) and his 2009 paper on continuous phonotaxis (19 citations) have become foundational references in biorobotic auditory processing. He has also made significant strides in modular robotics, including developing FPGA-based electronics for self-reconfigurable robots and exploring morphology-independent learning in modular systems. More recently, Shaikh has applied his expertise to socially impactful domains, designing welfare robots for elderly care that adapt to individual users through proactive control mechanisms. His 2022 work on multisensory cue integration, which models how the brain learns to weight sensory information reliability, demonstrates his continued exploration of neuroplasticity-inspired approaches. With over 100 total citations across his publications, Shaikh's research bridges theoretical neuroscience and practical robotics, offering valuable insights for both fields.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Braitenberg Lizard: Continuous Phonotaxis with a Lizard Ear Model19 citations · 2009
- 3Braitenberg Vehicles as Computational Tools for Research in Neuroscience16 citations · 2020
- 4Morphology Independent Learning in Modular Robots16 citations · 2009
- 5
- 6Flexible, fpga-based electronics for modular robots8 citations · 2008
- 7
- 8
- 9
- 10SMOOTH Robot: Design for a Novel Modular Welfare Robot3 citations · 2019