Heriot-Watt University

University: 
Heriot-Watt University

Vision based Mobile Autonomy through Object-Level Scene Understanding and Robust Visual SLAM

Project number: 
600005
The goal of this project is to develop vision based algorithms for long-term mobile autonomy in dynamic environments, leveraging object-level scene understanding, multi-sensor fusion and visual SLAM.
Dr. Sen Wang
Heriot-Watt University

AnKobot is sponsoring an exciting PhD project in the field of mobile autonomy using visual Simultaneous Localization and Mapping (SLAM), semantic scene understanding and computer vision.

University: 
Heriot-Watt University

Explainable AI and Autonomy for the Maritime Domain

Project number: 
600002
Investigate techniques to enable the human operator to collaborate and team effectively with autonomous systems with varying autonomy and communication levels in the Marine domain
Prof. Helen Hastie
Heriot-Watt University

**Note: Project availability subject to collaboration agreement being signed**

SeeByte is sponsoring a PhD in the area of Human-Machine Interaction for safe, innovative and dynamic use of marine autonomous systems. These systems have varying autonomy and communication ability ranging from tethered remote controlled Remotely Operated Vehicles (ROV)s that have low autonomy, to completely autonomous systems that can go deep underwater but with limited comms, as well as autonomous surface and air vehicles with continuous communications.

Robust and Explainable Machine Learning for FinTech Applications

To develop and compare Gaussian Process models with Deep Neural Networks to provide explainable and quantifiable Machine Learning for FinTech applications.
Prof. Mike Chantler
Heriot-Watt University

Deep Neural Network (DNN) technologies coupled with GPU type hardware provide practical methods for learning complex functions from vast datasets.  However, their architectures are often developed using trial and error approaches and the resulting systems normally provide ‘black box’ solutions containing many millions of learnt but abstract parameters. They are therefore extremely difficult to interpret and understand, and their accuracy and certainty of prediction, or classification, are normally not known.

University: 
Heriot-Watt University

Mapping High Level Parallel Code to Bespoke Hardware for Energy Efficient and Real Time Autonomous Devices and Smart Sensors.

Project number: 
600001
The two key requirements for real time decision making in robotics systems and smart sensors, is: 1) increased compute power for full AI autonomy, and 2) energy efficiency, which is a a critical concern for long-lasting operation. The goal of this project is to develop novel language processing methodologies, to create low energy custom hardware accelerators with Field Programmable Gate Arrays (FPGAs) from algorithms written in SYCL. SYCL is a portable C++ standard for heterogeneous computing.
Dr. Robert Stewart
Heriot-Watt University

**Note: Project availability subject to collaboration agreement being signed**

 

Codeplay https://www.codeplay.com/ is a company in Edinburgh with industry expertise with compiler construction and processor architectures. They are a leading partner in the standardisation of SYCL, a programming abstraction for heterogeneous hardware. Codeplay have SYCL implementations for CPUs and GPUs.

The Codeplay CEO, Andrew Richards, founded the company in 2002. He chairs the working group for the SYCL standard within the Khronos Group.

University: 
Heriot-Watt University

Subsea intervention using autonomous systems

Project number: 
124024
Develop control algorithms to enable safe semi -autonomous subsea manipulation with communications delay.
Prof. Yvan Petillot
Heriot-Watt University

Subsea inspection of structures is now commercial and the next frontier in subsea robotics is the safe physical interactions with underwater structures. This requires the development of new control algorithms with force compliance which can take into account external disturbances. There is also a need to work across a variety of control models, from full teleoperation across high bandwidth data to shared autonomy (our goal) across low and intermittent connection to enable shore-based control of remote platforms.

Internet of Robotic Things

Project number: 
300001
Investigating algorithms and applications for Internet of Things and Robotic systems
Dr. Mauro Dragone
Heriot-Watt University

The Internet-of-Robotic-Things (IoRT) brings together autonomous robotic systems with the Internet of Things (IoT) vision of sensors and smart objects pervasively embedded in everyday environments [1-4]. This merge can enable novel applications in almost every sector where cooperation between robots and IoT technology can be imagined. Early signs of this convergence are in network robot systems [5], robot ecologies [6], or in approaches such as cloud robotics [7].