Doug Tilley

Smart Cyber-Physical Systems for Multimodal Human-Robot Collaboration

Project Summary

Robotics interacting and collaborating seamlessly with humans is a notion that has captivated society and industry for decades. Particularly, manufacturing, service and assistive robotics have shown great interest in the integration of intelligent devices that can safely and efficiently interact, collaborate, and assist humans.

The design and development of these types of robots require sophisticated cognitive architectures composed of perception (high-level) and control (low-level) layers. The high-level layer implements Artificial Intelligence algorithms for perception and decision-making processes using data from multiple sensing modalities available in the robot and data from the surrounding environment. The decisions from this layer are used by the low-level layer to execute advanced control methods to provide the actual control to the robotic device.

I am aiming to investigate the relationship between Soft Robotics and different non-invasive modality sensors such as EEG, EOG and EMG to help provide a more reliable method for rehabilitation or task assistance in collaboration with humans. The research will aim to provide a hybrid approach of incorporating the best aspects of traditional robotics and machine learning with the versatility, flexibility and compliance that comes with soft robotics. By integrating the multimodality sensors and soft robotics, I seek to find a more robust method of helping those who are post-surgery or suffer with neurological disorders.

Research Interests

Brain-Computer interfaces.

Soft Robotics, Biomimetics and Autonomous Compliant Systems.

AI Solutions for medical, assistive, and augmentative technologies.

AI for navigation solutions.

UAVs for Research Applications.

Biosignal analysis and processing.

Background

MEng Robotics at University of Plymouth.

Two Years Research Assistant at the University of Bath examining the Micro electrical properties of clouds using Unmanned Aerial Vehicles (UAV). This was in collaboration with the University of Reading for the United Arab Emirate Research Program for Rain Enhancement Science (UAEREP).

Supervisors

Dr Uriel Martinez Hernandez