Current research projects

Title Research project
Marian Andrecki Learning predictive models from observations
Daniel Angelov Physical Scene Understanding Through Active Manipulation
Paola Ardón Ramírez Towards Robust Grasps: Using the Environment Semantics for Robotic Object Affordances
Martin Asenov (cohort student representative) Active Localization of Gas Leaks using Fluid Simulation
Vibhav Bharti Detection and Tracking of Subsea Pipelines from an AUV
Andrew Brock SMASH: one-Shot Model Architecture Search through HyperNetworks
Mark Campbell Joint Spatial Calibration and Multi-Target Tracking
Yaniel Carreno Multi-Vehicle Coordination and Planning for marine robots
Ioannis Chalkiadakis Towards explainable AI through data-driven, human-interpretable visualizations.
Iordanis Chatzinikolaidis Dynamic Multi-contact Motion Planning for Legged Robots
Derek Chun Application of energy based control algorithms on soft robotic systems.
Helmi Fraser Towards Semantically Augmented Deep Learning for Mobile Robots
James Garforth Navigation and Mapping of Natural Environments
Daniel Gordon Evaluation, control and design of assistive robotic devices
Calum Imrie Confidence in Autonomous Robotics Applications
Emmanuel Kahembwe Hierarchical prediction and planning for Human-Robot Interaction
Teun Krikke Deep Learning of Human Activity in Audio and Video streams
Iris Kyranou Understanding Muscle Activation Patterns for Skilled Arm Movements
Thibault Lacourtablaise (cohort student representative) Manipulation of uncooperative objects in zero-gravity with modular self-reconfigurable robots.
Tatiana Lopez Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation
William Lyons Self Organization in Heterogeneous Robot Swarms
William McColl Spasticity Assessment and Treatment Using a Hand Exoskeleton
Christopher McGreavy Human Inspired Push Recovery for Locomotive Robots
Ross McKenzie Modular Robotics for Sorting
Francisco Mendonca (PhD Working Title) Journeying from Embodiment to Emotions and Feelings in Artificial Cognitive Systems
Wolfgang Merkt (cohort student representative) Online Optimal Replanning for High-Dimensional Systems in Changing Environments
Boris Mocialov HRI with Limited Knowledge using Sign Language
Joao Moura Learning manipulation tasks by demonstration
Chris Mower Shared Autonomy For Kinesthetic Tools
Jun Hao Alvin Ng Learning Action Models for Planning
Èric Pairet Artau Anthropomorphic Bimanual Manipulation Learnt by Demonstration
Jose L. Part A Framework for Knowledge Acquisition and Grounding through Situated Interactive Dialogue and Visual Demonstrations
Christian Rauch Articulated Tracking for Humanoid Manipulation Tasks
Jamie Roberts Task Decomposition of Multi-Robot Systems
Hugo Sardinha Merging Swarm Intelligence and Probabilistic Motion techniques in Search and Rescue missions.
Marcel Sheeny Multi-Modal Transfer Learning for Object Recognition applied to Autonomous Cars in Bad Weather
Eli Sheppard Automatic Speech Recognition
Joshua Smith Human-Robot Collaboration and Dynamic Identification
William Smith Reliable Place Recognition Using Computer Vision and Deep Learning
Jan Stankiewicz Control mechanisms involved in dragonfly prey interception: a modelling approach
Theodoros Stouraitis Intention Aware Human-Robot Collaborative Manipulation of Large Objects
Alessandro Suglia Empowering Conversational Agents with Situated Natural Language Communication Skills by Exploiting Deep Reinforcement Learning Techniques
Kate Uzar Learning to grasp movable objects based on tactile information
Hans-Nikolai Viessmann High-Performance Computing for Robotic Systems using Low-Power Accelerators
Xinnuo Xu Actor-critic Algorithm based User-data-driven Dialogue Generation (MSc Project)
Chuanyu Yang Deep reinforcement learning for Humanoid locomotion
Kai Yuan (cohort student representative) Control and Learning of Versatile Legged Mobility on Complex Terrain