Eindhoven, North Brabant, Netherlands
Research focus: AI + Human-centred studies for human-robot interaction, cognitive mechanistic explanations, and real-life applications via Cognitive Robotics approach Teaching: As Module Leader RBE403TC Intelligent Robotics and Applications [MSc] RBE404TC Application of Cutting Edge Technologies in Robotics Design [MSc] Co-lecture: RBE001 Introduction to Intelligent Robotics [UG Y1 optional] RBE103TC Electronic Circuits- Analogue and Digital [UG Y2] RBE105TC Introduction to Intelligent Robotics and Applications [UG Y2] RBE402TC Robotics Software Design and Machine Learning [MSc] Admin: Programme Director MSc Advanced Robotics System （since Apr.2024) Global Engagement Officer School Progress Committee
• Personal project focus: o Train computational robotics model (RNN+CNN) from human behavioral data to control robot-arm and simulate human attentional reach action o Optimize model performance using parallel computation algorithms in high performance clusters for fitting, simulation, visualization, and data analysis o Integrate control theory for robot vision and arm control in complex tasks o Build graphical user-interface for human-computer interaction (MATLAB GUI) • Novel Principal Component Regression model for analyzing continuous hand-reach/robot-arm trajectories • Establish online testing programs (JavaScript, via Google Firebase server) • Teach and supervise MSc/BSc students (e.g. dissertation, programming, modeling, statistics)
• Measure and model P&G user’s multisensory premium-ness experience on certain products o Create video stimuli that convey multisensory information for the products o Design user-friendly interface for testing user’s visual-tactile perception o Represent product premium-ness as a function of physical attributes • Provide guidelines for improving the empirical product design process • Deliver internal reports and other deliverables (e.g. video demos) to P&G
• Optimize light-tracing reflectance model for material properties o Develop prototypes of canonical surface reflectance (material) modes and lighting modes using optics-based computational models (OpenGL shading) o Develop a protocol to test complex material-lighting interactions o Propose novel high-order spherical harmonics lighting metrics Validate predictions of lighting effects for canonical reflectance modes
• Prototype image-based models in 3D modelling and computer rendering • Design and program testing interface for measuring coating gloss