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

; Coventry University

In lots of real-world purposes, counting on a single sensor will be problematic on account 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 plenty of purposes in management and robotics in recent times. The general purpose of this challenge is to reinforce 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 be taught to weigh the reliability of every sensor’s knowledge based mostly on the present context. It’s anticipated that the challenge 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 situations.

The profitable applicant will begin with creating an answer that may work in a simulated surroundings after which regularly embrace extra real-world elements. It’s anticipated that, all through the PhD programme, the applicant might be interacting and collaborating with the trade contacts to make sure that the strategy meets their wants. The ultimate objective is to supply the trade with an answer that may be dropped at market and used inside robotics and different sensor-based purposes.

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 challenge ingredient (or equal), or an equal award from an abroad establishment.


  • the potential to have interaction in progressive analysis and to finish the PhD inside 3.5 years
  • An enough proficiency in English have to be demonstrated by candidates whose first language just isn’t English. The overall requirement is a minimal total IELTS Tutorial 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 just 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 display some expertise/and or data pertinent to machine studying and could have good programming expertise.

To seek out out extra concerning the challenge please contact Prof. James Brusey at [email protected]

All purposes require a protecting letter and a 2000-word supporting assertion is required exhibiting how the applicant’s experience and pursuits are related to the challenge.  

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