We invite everybody to attend the robotics research seminar, organised by L-CAS, on Wednesday 24/5/2017:
Dr Giorgio Grisetti, DIAG, University of Rome “Sapienza”:
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.
The School of Computer Science is pleased to welcome Prof Nick Taylor (from Heriot-Watt University) for a research talk as part of the School’s research seminar series. Prof Taylor will be presenting current research from “The Edinburgh Centre for Robotics”.
Fri 27/11/2015, 10am
David Chiddick Building, Room BL1105 (1st Floor)
The Edinburgh Centre for Robotics harnesses the potential of 30 world leading investigators from 12 cross-disciplinary research groups and institutes across the Schools of Engineering & Physical Sciences and Mathematical & Computer Sciences at Heriot-Watt University and the Schools of Informatics and Engineering at the University of Edinburgh. Our research focuses on the interactions amongst robots, people, environments and autonomous systems, designed and integrated for different applications, scales and modalities. We aim to apply fundamental theoretical methods to real-world problems on real robots solving pressing commercial and societal needs. The Centre offers a 4 year PhD programme through the EPSRC Centre for Doctoral Training in Robotics and Autonomous Systems and hosts the Robotarium national UK robotics facility.
Nick Taylor is a Professor of Computer Science at Heriot-Watt University and a Deputy Director of the Edinburgh Centre for Robotics. He was Head of Computer Science from 2008-2014 and leads the Pervasive, Ubiquitous and Mobile Applications (PUMA) Lab which he formed in 2010. He has been involved in robotics and machine learning research for over three decades, most recently with a particular interest in the personalisation of autonomous systems for pervasive environments. Nick took his A-levels at Lincoln Christ’s Hospital School and then studied at Cardiff, London and Nottingham before joining Heriot-Watt University and settling in Midlothian.
Tom Duckett and Marc Hanheide of the Lincoln Centre for Autonomous Systems will be presenting the general aims and objectives of the new FP7 project “STRANDS: Spatio-Temporal Representations and Activities For Cognitive Control in Long-Term Scenarios” – and L-CAS’ role in its research work plan in particular – at ICRA 2013 and ERF 13 conferences, respectively. The project’s aim is
“… to enable a robot to achieve robust and intelligent behaviour in human environments through adaptation to, and the exploitation of, long-term experience.”
Our approach is based on understanding 3D space and how it changes over time, from milliseconds to months. Within L-CAS two post-doctoral research fellows and one PhD student will work towards this aim in the coming four years starting in April.