Papers
2
Total Citations
17
H-Index
2
About
Yu-Der Chih is a leading researcher in energy-efficient edge computing and embedded memory systems, with a focus on enabling autonomous capabilities in miniaturized robotics. His primary research areas include non-volatile memory (RRAM) design, low-power edge accelerators, and real-time localization algorithms for tiny robotic platforms. Chih’s most notable contribution is the development of a 40nm VLIW edge accelerator integrating 5 MB of embedded RRAM with an ultra-low 0.256 pJ/bit energy consumption, paired with a dedicated localization solver for bristle robot surveillance. This work, published in 2024 and garnering 15 citations, directly addresses the dual challenge of balancing machine learning inference with state-space equation solving in sub-centimeter robots. By co-optimizing memory, compute, and algorithm, Chih’s accelerator achieves the stringent power and area constraints of autonomous surveillance platforms, representing a significant step toward practical, untethered micro-robots. His research bridges the gap between advanced memory technology and real-time edge intelligence, making him a pivotal figure in the evolution of energy-constrained autonomous systems.
Research Focus
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Top Papers
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