Papers
2
Total Citations
97
H-Index
2
About
Peng-Cheng Ma is a leading researcher in flexible electronics and intelligent robotics, with a primary focus on developing advanced sensory systems and autonomous navigation. His most cited work, “Anisotropic conductive networks for multidimensional sensing” (2021, 76 citations), introduces a breakthrough approach to flexible physical sensors that can detect multiple stimuli—such as pressure, strain, and temperature—simultaneously. This innovation addresses a critical limitation of conventional single-response sensors, enabling applications in health monitoring, human-machine interfaces, and smart robotics. Ma’s design of anisotropic conductive networks has set a new standard for multidimensional sensing, offering enhanced sensitivity and selectivity. In parallel, his research on mobile robot path planning, notably “Research on Mobile Robot Path Planning Based on Improved A-star Algorithm” (2021, 21 citations), advances autonomous navigation by refining the traditional A-star algorithm. By employing full convolution interpolation to expand search areas, his method reduces path inflection points, improving obstacle avoidance efficiency. This work is pivotal for real-time robotics applications. With a growing citation impact, Ma’s contributions bridge materials science and robotics, driving progress in wearable electronics and intelligent systems. His achievements underscore a commitment to practical, scalable solutions for next-generation technologies.
Research Focus
Key Achievements
Top Papers
- 1Anisotropic conductive networks for multidimensional sensing76 citations · 2021
- 2Research on Mobile Robot Path Planning Based on Improved A-star Algorithm21 citations · 2021