team

members of the lab

Efi Psomopoulou

Efi Psomopoulou

Principal Investigator

Silvia Terrile

Silvia Terrile

Postdoctoral Researcher

Ertug Ovur

Ertug Ovur

Postdoctoral Researcher

Laura Butcher

Laura Butcher

PhD Researcher

Youssef Alboraei

Youssef Alboraei

PhD Researcher

Zihong Li

Zihong Li

PhD Researcher

Kaichen Shi

Kaichen Shi

Research Assistant

MEng in Engineering Mathematics

  • Vandam Dinh, Simulation-Based Sensor-Invariant Grasp Stability Prediction Model
  • Mehdi Amara, OptiTouch: Colour-Coded Fibre-Optic Tactile Sensing for Shear and Slip

alumni

PhD

MEng in Engineering Mathematics

  • Charles Pullan, Slip Detection and Variable Grip Strength Controller for Stable 3D Pinching Using Tactile Sensors (2024)
  • Chris Sharp, Get A Grip: The Kinematics and Dynamics of a Simulated Three finger Grasping Robot (2023)
  • Christopher White, Using Tactile Sensing to Inform Low-Cost, Force-Feedback Haptics (2023)

Research Internships

  • Yiyao Wang, A Dataset for robot learning from Demonstration (2023)
  • Christopher White, Towards Learning Robot ​In-Hand Manipulation Skills (2022)

MSc in Robotics

  • Kaichen Shi, Calibrating tactile sensing: Learning and fine-tuning for optical fibre-based Tactip sensors (2025)
  • Weifangming Wang, Mapping Human Hand Motion to Robotic Hands for Teleoperation (2024)
  • Yujie Xia, Tactile-based Learning for Human-Robot Interaction (2022)
  • Haoqian Yang, Customisable simulator for robotic in-hand object manipulation (2021)
  • Xintian Zhang, A controller for interchanging fingers while grasping an object with a three-fingered robotic hand (2020)

MSc in Data Science

  • Jiadong Xu, Enhancing Haptic Perception: Time-Series Deep Learning Models for Force Estimation (2024)
  • Wenxin Xie, Reducing Training Data Demand For Pose Models of 3D Surfaces Using UpperCaSE and Fine-tuning (2024)
  • Shuoqi Zhang, Tactile Transfer Transformer Boost Model For Domain Adaptation and Domain Generalization (2024)
  • Yishuo Tang, Vision Representation for Dexterous Manipulation (2024)
  • Zhengpeng Wu, Investigating the effect of extrinsic tactile resolution on deep learning model performance (2024)
  • Zhe Zhou, Predictive Modeling of Future States of Optical Sensors Using Time Series Models (2024)
  • Lingjie Zeng, Advanced Tactile Perception with Optimized GRU Models: A Comparative Study with LSTM in Robotic Applications (2024)
  • Kan Yu, VisualSDF: Accelerating DeepSDF Reconstruction with Visual Information (2023)
  • Yifan Wang, SDFNeRF: The combination of 3D data and NeRF algorithms (2023)
  • Guo Yixin, Creating motion datasets by Meta Quest2 (2023)
  • Jiujiang Chen, Comparative Analysis of Population-Based Training’s Performance Enhancement in Dexterous Hand Control using Isaac Gym (2023)
  • Terra Rao, Enhancing Robotic In-hand Manipulation through High-Resolution Tactile Sensing (2023)
  • Chuhan Geng, 3D Reconstruction based on Deep Learning combined with Point Cloud Filtering (2023)
  • Kai Tao, Implementation of pose invariance in tactile 3D reconstruction using VNN and DeepSDF (2023)
  • Pui Chuen Cheng, Robot In-Hand Object Rotation with Horizontally Vibrated Object (2023)
  • Thomas Courts, Application of Meta Quest 2 Hand Tracking Data for Virtual Robotic Hand Simulation: A Study in Advanced VR-Controlled Robotics (2023)
  • Qi Chen, Deep Learning Models for Taxonomic Classification of Metagenomic Data (2022)
  • Kuan-Cheng Huang, Detecting Hidden Mutation by supervised feature selection in COVID Data (2022)
  • Max Kirwan, Monitoring Nutritional Information Shared on Instagram Focusing on Recipe-based Data (2022)
  • Li Yin, Analysis of hidden mutation positions of the SARS-CoV-2 based on machine learning (2022)
  • Richard Rao-Nicholson, Social Media Image Recognition for Nutrition Sciences (2022)
  • Kexin Wu, Analysis of Human Daily Manipulation Dataset (2022)
  • Purva Pravin Likhar, Myth vs. Reality: How reliable is Social Media for the Propagation of Nutritional Information? (2022)