The visit provided an overview of the Military Air & Information sector of the business which operates the Typhoon Total Availability Enterprise (TyTAN) contract, supporting the RAF Typhoon fleet. Students were able to experience BAE Systems training systems which are delivered to RAF staff using advanced simulators in a state of the art facility.
Students were also granted access to the Typhoon Maintenance Facility and witnessed a variety of aircraft in different states of repair.
Overall, the trip provided students a first hand opportunity to see their studies and skills learnt at the University of Lincoln could be translated into real industry problems within BAE Systems and the RAF.
Student feedback was that they enjoyed experiencing some of the world’s most advanced technology within the defence sector and they found it was both awe inspiring and provided some excellent ideas for their future projects.
Find out about the work BAE Systems provides at RAF Coningsby, learn about the Typhoon jet and further BAE Systems opportunities worldwide.
The School of Computer Science has won the the Lincoln Student Union ‘School of the Year’ award, and was selected from a shortlist of Schools across the University of Lincoln.
College Officers and School Reps deliberated over which of the many deserving Schools should receive the award and decided on Computer Science!
Quotes and feedback from nominees illustrate why the School achieved this award:
“…there is a good sense of team between all of the Reps, and they work well with staff in the School to achieve things for students. They have developed good ways of raising issues and having them resolved in a timely manner.”
“This nomination is mostly due to our phenomenal School Representative, who always goes out of his way to do things for others, whether that’s organising social events or organising meetings with academic teachers to ensure that the course is being taught in the best possible way.”
“Many of the issues raised by students have been dealt with incredibly quickly and the overall atmosphere of the school is overwhelmingly positive!”
“This is due to the fact that we have an amazing School Rep who goes above and beyond to help the Course Reps in any way that he can. We also worked incredibly hard as a team to get everyone involved in the module evaluation which have just taken place where the participation response had risen by 1.73% more than last year, which is a good improvement for the school.”
“I would like to nominate the School of Computer Science for school of the month. This is due to the fact that we have an amazing School Rep who goes above and beyond to help the course reps in any way that he can. We also worked incredibly hard as a team to get everyone involved in the module evaluation which have just taken place where the participation response had risen by 1.73% more than last year, which is a good improvement for the school.”
“Reps in the school are always enthusiastic and solution focused – which is fantastic to see. They have effective subject committee and have developed informal routes for raising feedback along with staff.”
Making Robust SLAM Solvers for Autonomous Mobile Robots
WHERE: AAD1W11, Lecture Theatre (Art, Architecture and Design Building), Brayford Pool Campus
WHEN: Wednesday 24th May 2017, 3:00 – 4:00 pm
In robotics, simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent’s location within it.
SLAM is an essential enabling technology for building truly autonomous robots that can operate in an unknown environment. The last three decades have seen substantial research in the field and modern SLAM systems are able to cope easily with operating conditions that in the past were regarded as challenging if not impossible to deal with.
This consideration might support the statement that SLAM is a closed problem. However a closer look at the contributions presented in the most relevant conferences and journals in robotics reveals that the papers on SLAM are still numerous and the community is large. Would this be the case if an off-the shelf solution that works all the time were available?
Non-experts that approach the problem, or even want to get one of the state-of-the-art systems running, often encounter problems and get performances that are far from the ones reported in the papers. This is usually because the person using the system is not the person designing the system. An open box approach that aims at solving the problems by modifying an existing pipeline is often hard to implement due to the complexity of modern SLAM systems.
In this talk we will overview the history of SLAM and we will outline some of the challenges in designing robust SLAM systems, and most importantly forming robust SLAM solvers.
Furthermore, we will also present PRO-SLAM (SLAM from a programmer’s perspective), a simplistic open-source pipeline that competes with state-of-the art Stereo Visual SLAM systems while focusing on simplicity to support teaching.