Papers

3

Total Citations

26

H-Index

3

About

Jingyuan Cheng is a pioneering researcher at the intersection of ubiquitous computing, human-robot interaction, and tactile sensing. Her work fundamentally addresses how robots can safely and intuitively coexist with humans in shared environments. Cheng’s major contributions center on transforming industrial and service robots from isolated machines into responsive partners. She pioneered the use of tactile surface sensors (TSS) as a gesture input device for intuitive robot programming, enabling operators to guide manipulators through touch rather than complex code—a breakthrough with 12 citations. Her exploration of ubiquitous pressure-sensitive matrices as input resources for home-service robots (8 citations) further extends this vision, allowing robots to interpret human intent through physical contact. Cheng’s research on the coexistence of humans and robots (6 citations) frames these technical advances within the broader challenge of seamless collaboration. Her work has been recognized for its potential to democratize robot programming, making automation accessible beyond expert engineers. With cumulative citations exceeding 26, Cheng’s tactile sensing innovations are laying the groundwork for a future where robots are not tools to be programmed, but partners to be touched.

Research Focus

Key Achievements

3
H-Index
3
Papers
26
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Exploring tactile surface sensors as a gesture input device for intuitive robot programming
12 citations · 2016
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Technische Universität Braunschweig, German Research Centre for Artificial Intelligence

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago