Jiaxing Guo
Papers
1
Total Citations
60
H-Index
1
About
Jiaxing Guo is a pioneering researcher at the forefront of neuromorphic computing and crossmodal sensory systems, with a particular focus on integrating visual and tactile perception for next-generation humanoid robotics. His most influential work, "In‑Sensor Computing with Visual‑Tactile Perception Enabled by Mechano‑Optical Artificial Synapse" (2025), has already garnered 60 citations, reflecting its immediate impact on the field. In this landmark study, Guo developed an artificial mechano-optical synapse that enables in-sensor computing, allowing simultaneous processing of visual and tactile stimuli—a critical step toward emulating human sensory capabilities. By constructing a crossmodal in-sensor computing system, he demonstrated how rapid, low-power signal processing can be achieved, directly addressing the persistent challenge of creating efficient sensory integration for robotics. Guo’s contributions are particularly notable for bridging the gap between hardware-level neuromorphic engineering and practical applications in humanoid robotics, offering a scalable pathway for machines to perceive and interact with their environment more naturally. His work stands as a key achievement in the quest for energy-efficient, brain-inspired computing systems.
Research Focus
Key Achievements
Top Papers
- 1