Context-Sensitive Personalities and Behaviors for Robots. - Francisco Munguia-Galeano; Rossitza Setchi (KES, 2022)

Towards Integrating 3D Printing and Automated Assembly. - Francisco Munguia-Galeano; Lesli Ortega-Arroyo; Miguel Gabriel Villarreal-Cervantes; Ze Ji (CASE, 2023)

Designing an AR Facial Expression System for Human-Robots Collaboration. - Yanzhang Tong; Qiyuan Zhang; Francisco Munguia-Galeano; Ze Ji (ICAC, 2023)

PnuTac: A Vision-Based Pneumatic Tactile Sensor for Slip Detection and Object Classification. - Prasad Rayamane; Peter Herbert; Francisco Munguia-Galeano; Ze Ji (M2VIP, 2023)

Towards Smooth Human-Robot Handover with a Vision-Based Tactile Sensor. - Prasad Rayamane; Francisco Munguia-Galeano; Seyed Amir Tafrishi; Ze Ji (TAROS, 2023)

Affordance-Based Human-Robot Interaction With Reinforcement Learning. - Francisco Munguia-Galeano; Satheeshkumar Veeramani; Juan David Hernández; Qingmeng Wen; Ze Ji (IEEE Access, 2023)

Learning to bag with a simulation-free reinforcement learning framework for robots. - Francisco Munguia-Galeano; Jihong Zhu; Juan David Hernández; Ze Ji (CoRR, 2023)

AR and HRC Integration for Enhanced Pragmatic Quality. - Yanzhang Tong; Qiyuan Zhang; Francisco Munguia-Galeano; Ze Ji (ICIT, 2024)

An Open-Source Capping Machine Suitable for Confined Spaces. - Francisco Munguia-Galeano; Louis Longley; Satheeshkumar Veeramani; Zhengxue Zhou; Rob Clowes; Hatem Fakhruldeen; Andrew I. Cooper (TAROS, 2025)

Deep Reinforcement Learning With Explicit Context Representation. - Francisco Munguia-Galeano; Ah-Hwee Tan; Ze Ji (IEEE Trans. Neural Networks Learn. Syst., 2025)

Chemist Eye: A Visual Language Model-Powered System for Safety Monitoring and Robot Decision-Making in Self-Driving Laboratories. - Francisco Munguia-Galeano; Zhengxue Zhou; Satheeshkumar Veeramani; Hatem Fakhruldeen; Louis Longley; Rob Clowes; Andrew I. Cooper (CoRR, 2025)