Air-Gap Convection in Rotating Electrical Machines. - David A. Howey; Peter R. N. Childs; Andrew S. Holmes (IEEE Trans. Ind. Electron., 2012)

Variable impedance walking using Time-Varying Lyapunov Stability Margins. - Emmanouil Spyrakos-Papastavridis; Peter R. N. Childs; Nikos G. Tsagarakis (Humanoids, 2017)

An analysis of the effect of gravity compensation on compliant biped walking controllers. - Emmanouil Spyrakos-Papastavridis; Peter R. N. Childs; Nikos G. Tsagarakis (AMC, 2018)

A computational tool for creative idea generation based on analogical reasoning and ontology. - Ji Han; Feng Shi 007; Liuqing Chen; Peter R. N. Childs (Artif. Intell. Eng. Des. Anal. Manuf., 2018)

Online impedance regulation techniques for compliant humanoid balancing. - Emmanouil Spyrakos-Papastavridis; Navvab Kashiri; Peter R. N. Childs; Nikos G. Tsagarakis (Robotics Auton. Syst., 2018)

A case-based decision theory based process model to aid product conceptual design. - Zhuo Hu; Congjun Rao; Chongyuan Tao; Peter R. N. Childs; Yong Zhao (Clust. Comput., 2019)

An artificial intelligence based data-driven approach for design ideation. - Liuqing Chen; Pan Wang 005; Hao Dong 003; Feng Shi 007; Ji Han; Yike Guo; Peter R. N. Childs; Jun Xiao 001; Chao Wu 001 (J. Vis. Commun. Image Represent., 2019)

Patent Data Driven Innovation Logic: Textual Pattern Exploration to Identify Innovation Logic Data. - Simon Dewulf; Peter R. N. Childs (TFC, 2021)

A Method to use Nonlinear Dynamics in a Whisker Sensor for Terrain Identification by Mobile Robots. - Zhenhua Yu 004; S. M. Hadi Sadati; Hasitha Wegiriya; Peter R. N. Childs; Thrishantha Nanayakkara (IROS, 2021)

Product semantics translation from brain activity via adversarial learning. - Pan Wang 005; Zhifeng Gong; Shuo Wang 011; Hao Dong 003; Jialu Fan; Ling Li 010; Peter R. N. Childs; Yike Guo (CoRR, 2021)

Patent-KG: A Patent Knowledge Graph for Engineering Design. - Haoyu Zuo; Yuan Yin; Peter R. N. Childs (CoRR, 2021)

Self-Supervised Task Learning For Robotic Underfloor Insulation. - Shubham M. Wagh; Ashley Napier; Maddy Clifford; Tom Lipinski; Peter R. N. Childs (MMAR, 2022)

WikiLink: an encyclopedia-based semantic network for design innovation. - Haoyu Zuo; Qianzhi Jing; Tianqi Song; Huiting Liu; Lingyun Sun; Peter R. N. Childs; Liuqing Chen (CoRR, 2022)

A Tapered Whisker-Based Physical Reservoir Computing System for Mobile Robot Terrain Identification in Unstructured Environments. - Zhenhua Yu 004; Shehara Perera; Helmut Hauser; Peter R. N. Childs; Thrishantha Nanayakkara (IEEE Robotics Autom. Lett., 2022)

A Semi-Supervised Reservoir Computing System Based on Tapered Whisker for Mobile Robot Terrain Identification and Roughness Estimation. - Zhenhua Yu 004; S. M. Hadi Sadati; Helmut Hauser; Peter R. N. Childs; Thrishantha Nanayakkara (IEEE Robotics Autom. Lett., 2022)

Innovation Logic: Benefits of a TRIZ-Like Mind in AI Using Text Analysis of Patent Literature. - Simon Dewulf; Peter R. N. Childs (TFC, 2023)

Opening up New Fields of Application with TRIZ Reverse - Conceptual Framework, Software Application, and Implementation Challenges. - Simon Dewulf; Swen Günther; Peter R. N. Childs; Darrell Mann (TFC, 2023)

A study of the evaluation metrics for generative images containing combinational creativity. - Boheng Wang; Yunhuai Zhu; Liuqing Chen; Jingcheng Liu; Lingyun Sun; Peter R. N. Childs (Artif. Intell. Eng. Des. Anal. Manuf., 2023)

An EEG-based method to decode cognitive factors in creative processes. - Yuan Yin; Haoyu Zuo; Peter R. N. Childs (Artif. Intell. Eng. Des. Anal. Manuf., 2023)

Towards the Neuromorphic Computing for Offroad Robot Environment Perception and Navigation. - Zhenhua Yu 004; Peter R. N. Childs; Thrishantha Nanayakkara (CoRR, 2023)

A Data-Driven Fuzzy Front End Model for Contextual Performance and Concurrent Collaboration. - Dongmyung Park; Ji Han; Peter R. N. Childs (IEEE Trans. Engineering Management, 2023)

BIDTrainer: An LLMs-driven Education Tool for Enhancing the Understanding and Reasoning in Bio-inspired Design. - Liuqing Chen; Zhaojun Jiang; Duowei Xia; Zebin Cai; Lingyun Sun; Peter R. N. Childs; Haoyu Zuo (CHI, 2024)

Typeface Generation through Style Descriptions With Generative Models. - Pan Wang 005; Xun Zhang; Zhibin Zhou 002; Peter R. N. Childs; Kun-Pyo Lee; Maaike Kleinsmann; Stephen Jia Wang (VRCAI, 2024)

AskNatureNet: A divergent thinking tool based on bio-inspired design knowledge. - Liuqing Chen; Zebin Cai; Zhaojun Jiang; Jianxi Luo; Lingyun Sun; Peter R. N. Childs; Haoyu Zuo (Adv. Eng. Informatics, 2024)

Applications of artificial intelligence and cognitive science in design. - Ji Han; Peter R. N. Childs; Jianxi Luo (Artif. Intell. Eng. Des. Anal. Manuf., 2024)

An Artificial Intelligence Approach for Interpreting Creative Combinational Designs. - Liuqing Chen; Shuhong Xiao; Yunnong Chen; Linyun Sun; Peter R. N. Childs; Ji Han (CoRR, 2024)

TRIZ-GPT: An LLM-augmented method for problem-solving. - Liuqing Chen; Yaxuan Song; Shixian Ding; Lingyun Sun; Peter R. N. Childs; Haoyu Zuo (CoRR, 2024)

I-Card: A Generative AI-Supported Intelligent Design Method Card Deck. - Liuqing Chen; Wengteng Cheang; Zhaojun Jiang; Yuan Xu; Zebin Cai; Lingyun Sun; Peter R. N. Childs; Ji Han; Preben Hansen; Haoyu Zuo (CHI, 2025)

From analogy to innovation: A creative conceptual design approach leveraging large language models. - Boheng Wang; Xiaoyang Zhao; Haoyu Zuo; Yaxuan Song; Ji Han; Peter R. N. Childs; Liuqing Chen (Adv. Eng. Informatics, 2025)

How Generative AI supports human in conceptual design. - Liuging Chen; Yaxuan Song; Jia Guo; Lingyun Sun; Peter R. N. Childs; Yuan Yin (CoRR, 2025)

Learning-based Artificial Intelligence Artwork: Methodology Taxonomy and Quality Evaluation. - Qian Wang; Hong-Ning Dai; Jinghua Yang; Cai Guo; Peter R. N. Childs; Maaike Kleinsmann; Yike Guo; Pan Wang 005 (ACM Comput. Surv., 2025)