Research output per year
Research output per year
Personal profile
Personal profile
Jingyang (Leo) Liu is a computational designer and researcher with expertise in generative design and robotic fabrication. He received a Ph.D. in Computational Design from Carnegie Mellon University (CMU). Prior to his doctoral studies at CMU, Jingyang obtained a Master of Science in Matter Design Computation and a Master of Architecture II from Cornell University, along with a B.Arch from Hunan University. Jingyang’s research focuses on (1) computational systems for design generation and optimization, and (2) robotic systems for digital fabrication and construction automation.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Computational Design, Carnegie Mellon University
Master, Matter Design Computation, Cornell University
Master, Architecture, Cornell University
Bachelor, Architecture, Hunan University
Keywords
- NA Architecture
- Computational Design
- Robotic Fabrication
Person Types
- Staff
Fingerprint
Dive into the research topics where Jingyang Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
A semantic-based approach to digital content placement for immersive environments
Liu, J., Li, Y. & Goel, M., Dec 2023, In: Visual Computer. 39, 12, p. 5989-6003 15 p.Research output: Contribution to journal › Article › peer-review
-
Proxemic-aware Augmented Reality For Human-Robot Interaction
Liu, J., Mao, H. & Bard, J., 2023, 2023 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023. IEEE Computer Society, p. 1323-1330 8 p. (IEEE International Workshop on Robot and Human Communication, RO-MAN).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
1 Citation (Scopus) -
Robust Visual SLAM with Integrated UWB Positioning for Construction Robotics
Liu, J., Wan, L. & Bard, J., 1 Jul 2023, Proceedings of the 2nd Future of Construction Workshop at the International Conference on Robotics and Automation (ICRA 2023). Chen, J., Cho, Y. K., Jeong, I., Feng, C., Zhang, L., Fallon, M., Morin, K. & Nair, A-D. (eds.). London, UK: International Association for Automation and Robotics in Construction (IAARC), p. 11-15 5 p.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
-
A Computational Framework For Robotic Quality Assessment and Management In Construction
Liu, J., Zhuang, Y. & Bard, J., 1 May 2022, Proceedings of the 1st Future of Construction Workshop at the International Conference on Robotics and Automation (ICRA 2022). Chen, J., Cho, Y. K., Jeong, I., Feng, C. F. & Zhang, L. (eds.). Philadelphia, PA, USA: International Association for Automation and Robotics in Construction (IAARC), p. 32-35 4 p.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
-
Study workplace space occupancy: a review of measures and technologies
Zhou, Y., Hua, Y. & Liu, J., 31 May 2022, In: Journal of Facilities Management. 20, 3, p. 350-368 19 p.Research output: Contribution to journal › Review article › peer-review
6 Citations (Scopus)