Congcong Cheng

Chongqing University of Posts and Telecommunications, Shanghai University

Papers

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About

Congcong Cheng is a rising researcher at the intersection of robotics and flexible electronics, whose work bridges intelligent motion planning and advanced sensor technologies. In robotics, Cheng tackled a fundamental challenge—the inefficiency of traditional Rapidly-exploring Random Tree (RRT) algorithms for manipulator path planning. By fusing the RRT approach with artificial potential fields, Cheng’s 2021 paper introduced a method that reduces randomness and space complexity while enabling near-optimal path generation, a contribution that has garnered 10 citations and offers practical improvements for industrial automation. Simultaneously, Cheng has made significant strides in electronic skin and human-machine interfaces. A 2024 study, with 8 citations, demonstrated a dual-parameter, high-density sensor array based on amorphous indium-gallium-zinc oxide (a-IGZO) thin-film transistors. This work overcomes the limitation of single-point detection by enabling simultaneous, high-resolution mapping of pressure and temperature—a critical capability for soft robotics and prosthetic applications. Cheng’s dual focus on algorithmic efficiency and hardware innovation positions them as a versatile contributor, with work that directly impacts both autonomous systems and next-generation tactile sensing technologies.