Mobile Autonomy: A Pervasive Technology
The Oxford Robotics Institute – Autonomous Systems researches all aspects of land based mobile autonomy. We invent the technologies that allow machines to ask and answer “Where am I?”, “What surrounds me?” and “What should I do next?” These three key questions underpin all that we do. They force us to confront fundamental questions in navigation, perception, machine learning and systems design. We are proud of the way we validate our thinking and challenge ourselves by deploying and running large robotics systems. These “flagship” projects, drawn from many application domains are central to our mission – we solve real world robotics problems. In 2014 a spin-out company called Oxbotica was launched to drive commercialisation and cross domain impact of our work.
Abstract - This paper describes the design, build, automatic self-calibration and evaluation of a 3D Laser sensor using conventional parts. Our goal is to design a [...]
This paper is about the automated discovery and mapping of surfaces using a stereo pair. We begin with the observation that for any workspace which [...]
Abstract—This paper concerns the creation of efficient surface representations from laser point clouds. We produce a continuous, implicit, non-parametric representation with an update time that [...]
Abstract— This paper describes a probabilistic framework for appearance based navigation and mapping using spatial and visual appearance data. Like much recent work on [...]
This paper is about online, constant-time pose es- timation for road vehicles. We exploit both the state of the art in vision based SLAM and [...]
This shows the 121-km path taken between Oxford in the upper left and London in the bottom right. We compute visual estimates for 89.4% [...]
Automated (self-driving)Vehicles are expected to bring major benefits for society in the future – including fewer road accidents, less congestion, a reduced reliance on individually-owned cars and increased mobility for people who cannot currently drive.