Cheng Cheng

University of Manitoba, Zhejiang University of Technology

Papers

Total Citations

H-Index

About

Cheng Cheng is a robotics researcher whose work spans human-robot interaction (HRI) and multi-robot systems, with a focus on developing innovative methods for robots to operate effectively alongside humans and in complex collaborative tasks. Among their most notable contributions is a 2019 investigation into the use of infrasound — low-frequency vibrations at or near the threshold of human hearing — as a novel interaction tool in HRI. Drawing on psychological research linking infrasound exposure to shifts in emotional state and mood, this work opened a creative new frontier in how robots might subtly influence human perception during interaction, earning 15 citations and distinguishing itself as a thought-provoking contribution to the field. Cheng has also contributed to multi-robot coordination, with a 2016 study on collaborative transportation control systems that applied linear temporal logic (LTL) to determine globally optimal paths satisfying complex task, workload, and environmental constraints, accumulating 8 citations. Together, these works reflect a researcher committed to pushing the boundaries of robot autonomy and human-robot communication, blending insights from psychology, formal methods, and control theory to advance intelligent robotic systems.