PhD Studentship: Multi-sensor Fusion for Robust Reinforcement Learning in Uncertain Environments

Coventry University

In lots of real-world functions, counting on a single sensor could be problematic as a result of noise, occlusions, or different numerous uncertainties. Utilizing knowledge from a number of sensors can enhance the decision-making course of. Reinforcement Studying (RL), as one of many three main machine studying approaches along with supervised and unsupervised studying, has discovered quite a lot of functions in management and robotics lately. The general goal of this mission is to boost the efficiency and robustness of RL brokers by fusing knowledge from a number of sensor modalities. This can contain the event of an RL framework that integrates knowledge from a number of sensors (e.g., cameras, LiDAR, ultrasonic, infrared) to kind a unified state illustration. The agent will study to weigh the reliability of every sensor’s knowledge primarily based on the present context. It’s anticipated that the mission will produce real-world affect by creating RL brokers that may function successfully even when some sensors are compromised or when working in difficult and unsure environmental circumstances.

The profitable applicant will begin with creating an answer that may work in a simulated surroundings after which step by step embrace further real-world elements. It’s anticipated that, all through the PhD programme, the applicant shall be interacting and collaborating with the trade contacts to make sure that the method meets their wants. The ultimate objective is to offer the trade with an answer that may be delivered to market and used inside robotics and different sensor-based functions.

Entry standards for candidates to PhD

  • A bachelor’s (honours) diploma in a related self-discipline/topic space with a minimal classification of two:1 and a minimal mark of 60% within the mission factor (or equal), or an equal award from an abroad establishment.


  • the potential to have interaction in revolutionary analysis and to finish the PhD inside 3.5 years
  • An sufficient proficiency in English should be demonstrated by candidates whose first language isn’t English. The overall requirement is a minimal total IELTS Educational rating of seven.0 with a minimal of 6.5 in every of the 4 sections, or the TOEFL iBT take a look at with a minimal total rating of 95 with a minimal of 21 in every of the 4 sections.

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The applicant isn’t required to submit a analysis proposal as a part of their utility. Throughout the supporting assertion, candidates ought to articulate why they consider they’re fitted to this place. Particularly, we anticipate that the applicant will exhibit some expertise/and or data pertinent to machine studying and could have good programming expertise.

To seek out out extra in regards to the mission please contact Prof. James Brusey at [email protected]

All functions require a masking letter and a 2000-word supporting assertion is required displaying how the applicant’s experience and pursuits are related to the mission.  

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