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About

P. Hasler is a researcher whose work sits at the compelling intersection of analog circuit design, reconfigurable hardware, and robotics, with particular expertise in Analog Very-Large-Scale-Integrated (AVLSI) circuits and their practical applications. Hasler's most significant contributions center on demonstrating that reconfigurable analog hardware — specifically Field Programmable Analog Arrays (FPAAs) — can effectively solve complex real-world problems such as robot path planning, a domain traditionally dominated by digital computing approaches. Their 2012 paper on robot path planning using FPAAs has garnered 22 citations, establishing a landmark demonstration of AVLSI circuits guiding the AmigoBot robot through dynamic environments. Earlier work from 2011 laid the theoretical and practical groundwork for this achievement. Hasler has also made notable contributions to neuromorphic engineering, designing a spiking silicon central pattern generator using floating-gate synapses that achieved an impressive 80% reduction in synapse area — a meaningful advance in hardware-efficient neural circuit design. Additional research exploring floating-gate programmable analog arrays for robotic game-playing tasks like Towers of Hanoi further illustrates Hasler's commitment to bridging low-power analog hardware with intelligent, adaptive robotic systems.