Dr Uriel Martinez Hernandez
No more applications being accepted
Competition Funded PhD Project (European/UK Students Only)
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. For instance, robot co-workers that safely collaborate with humans in training and assembly tasks, robots that provided services at home such as cleaning and cooking, wearable assistive robots that help humans in activities of daily living such as walking and handling objects, healthcare robotics and telepresence systems.
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, e.g., mobile platform, robotic arm, wearable robot. This process known as perception – action loop is crucial to deploy robots capable of understanding the state of the surrounding environment while safely interacting and collaborating with humans and other robots.
This multidisciplinary project is based in the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI). It aligns with ART-AI in the following key aspects required for the development of smart cyber-physical robots:
• Research and development of advanced machine learning methods, using multimodal sensor data, to make robots capable of understanding the surrounding environment and making safe decisions.
• Investigation of new robot designs (including morphology, sensors, computation, portability, materials) that are acceptable and reliable for daily usage by and interaction with humans.
• Research and development of advanced and intelligent control methods that perform precise and adaptive control of the robot behaviour, according to the changes perceived in the under-structured environment (including activities performed by humans).
• Investigation on safety and transparent mechanisms that allows robot designers to analyse, understand and keep track, with high accuracy, the decisions and actions performed by the cyber-physical system at all times.
All these aspects are crucial to contribute and transform the way that robots are developed and work currently, by making them intelligent, transparent, reliable, safe, comfortable, and compliant, but also moving them from lab or well-controlled environments to outdoor and real environments.
Examples of applications that can be developed in this project are: 1) cyber-physical systems that, using wearable sensors and multimodal data, allow humans and robots to safely and closely work in a shared environment; 2) robots that are capable of learning to perform actions autonomously though the observation and learning of human actions; 3) wearable robots that recognise the intention of human movement to efficiently provide the required assistance; 4) robots that are capable of navigating and exploring autonomously the surrounding environment by using touch, vision and audio sensors.
This project has a strong multidisciplinary nature. The student is expected to collaborate with partners from areas of computer science, electronic and electrical engineering, mechanical engineering and psychology. Furthermore, the student is expected to attend multiple events such as conferences, project meetings, summer schools and workshops.
Candidates are expected to have or be near completion of an MSc or MEng in Computer Science, Robotics, Electronics, Mechanics, Mathematics, Physics or related areas.
Further details of the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) can be found at: http://www.bath.ac.uk/centres-for-doctoral-training/ukri-centre-for-doctoral-training-in-accountable-responsible-and-transparent-ai/.
Informal enquiries about the project should be directed to Dr Uriel Martinez Hernandez: [Email Address Removed].
Enquiries about the application process should be sent to [Email Address Removed].
Formal applications should be made via the University of Bath’s online application form: https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RDUCM-FP02&code2=0002
Start date: 28 September 2020
ART-AI CDT studentships are available on a competition basis for UK and EU students for up to 4 years. Funding will cover UK/EU tuition fees as well as providing maintenance at the UKRI doctoral stipend rate (£15,009 per annum in 2019/20, increased annually in line with the GDP deflator) and a training support fee of £1,000 per annum.
We also welcome all-year-round applications from self-funded candidates and candidates who can source their own funding.
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