|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||From £19,668 full tuition fees and maintenance stipend (currently award/year)|
|Placed On:||23rd November 2022|
|Closes:||15th January 2023|
Using bioinspiration and body’s morphology to improve the adaptability of robots to the environment
Lead supervisor: Dr Sara Adela Abad G
Application deadline: 15 January 2023
Project start date: 01 March 2023 onwards
Project duration: 4 years
Studentship funding: full tuition fees and maintenance stipend (currently £19,668/year)
Due to the increasing global food demand, increasing natural and man-made disasters, and the significant amount of repetitive and hazardous tasks performed by humans, there is an increasing demand for robots for outdoor applications such as monitoring, rescue, farming, and space exploration. Nevertheless, there is a high variability of the environmental conditions and terrain type in tasks such as monitoring natural habitats, searching for victims after disasters, monitoring and removing weeds, monitoring nuclear facilities, and so on. This high variability limits the applicability of robotics for these tasks. Computing technologies and AI research have developed significantly in the last decades to improve the adaptability of robots to these changing conditions. Recent research in bioinspired robotics shows that the passive dynamics of the robot’s body and the body-environment interaction can also improve the robot’s adaptability to terrain conditions. Therefore, further development regarding the embodiment of robots is critical for achieving higher adaptability to environmental conditions.
Animals & plants show remarkable adaptability to their environment. Consequently, using a bioinspired approach, the candidate will investigate to what extent the body dynamics can contribute to the robot's adaptability to the environment. To achieve this aim, the candidate will use a multidisciplinary approach. The candidate is expected to work jointly with collaborators from other areas such as biologists, veterinarians, & other relevant areas. During this project, the candidate will conduct the research employing a range of advanced computational, design & experimental approaches.
The position also offers opportunities to engage in teaching assistant activities & work with researchers from the robotics lab in the department. As a PhD student at UCL, the candidate will benefit from training in high-impact research. The candidate will be encouraged to publish work in leading journals & present findings at national/international conferences.
The position is open to UK, EU & International students.
Please refer to the following website for full eligibility criteria: Mechanical Engineering MPhil/PhD
How to apply
Eligible applicants should first contact Dr Sara Adela Abad G (firstname.lastname@example.org). Please enclose the following documents:
After discussing the project with Dr Abad, eligible applicants should also submit a formal PhD application via the UCL website.
The supervisory team will arrange interviews for short-listed candidates.
Type / Role: