Chenzhong Shao
Papers
6
Total Citations
50
H-Index
4
About
Chenzhong Shao is a leading researcher in tactile sensing systems for next-generation robotics, with a focus on enabling safer, more accurate human-robot interaction. His core contributions lie in developing large-scale, high-resolution tactile sensor networks that mimic human touch. Shao pioneered the integration of CMOS-LSI and MEMS technologies to create compact, 3-axis force and temperature sensors, achieving millimeter-level spatial resolution across wide robotic surfaces. His most cited work (2017, 24 citations) introduced a multiple sensor platform with a dedicated CMOS-LSI, demonstrating how dense tactile coverage can enhance object recognition and safety. Shao’s subsequent innovations include an event-driven sensing system with 100 integrated sensors (2020, 8 citations) that reduces data transmission via asynchronous serial bus communication, and a real-time force-temperature system (2020, 8 citations) using FPGA-based relay nodes. Notably, his 2018 study connected 48 sensors on a single 2.4-meter bus line, proving scalability for full-body robotic skins. With over 50 cumulative citations, Shao’s work is foundational for creating robots that can safely collaborate with humans in dynamic environments.
Research Focus
Key Achievements
Top Papers
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