DRS posts

/DRS posts

ORI’s Dr. Mathieu Geisert Awarded Best Paper at TAROS 2019

Last week a group from ORI attended the Towards Autonomous Robotic Systems (TAROS) 2019 Conference. The conference this year was held at the newly build Mile End campus of the Queen Mary University of London. Many interesting papers were presented and TAROS this year had an excellent set of keynote talks delivered from leading researchers [...]

ORI’s Dr. Mathieu Geisert Awarded Best Paper at TAROS 20192019-07-22T14:58:21+01:00

Efficient Segment Matching

Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU Georgi Tinchev, Adrian Penate-Sanchez, Maurice Fallon IEEE Robotics and Automation Letters/IEEE International Conference on Robotics and Automation (RA-L/ICRA) 2019 [arXiv] [Slides (TBA)] Figure 1. PCA visualization of the feature space after training our model. Each sample [...]

Efficient Segment Matching2019-02-28T11:43:11+01:00

DPhil students study Dynamic Robot Locomotion

16 first year DPhil students from the AIMS CDT spent a week at ORI studying Dynamic Locomotion led by students from the Dynamic Robot Systems Group (DRS). The hands on course was focused around the ANYmal robot (from ANYbotics) and its simulator. After a series of introductory lectures to ROS and research topics such as [...]

DPhil students study Dynamic Robot Locomotion2019-03-03T08:20:45+01:00

ANYmal goes underground – European Project ‘THING’

Benoit Casseau, Marco Camurri and David Wisth visited Zurich for a meeting of the European project THING (subTerranean Haptic INvestiGator). In a nutshell this project aims to develop new feet for the ANYmal robot to enhance it's mobility and to perceive terrain properties. In comparison to the current feet, the new ones have [...]

ANYmal goes underground – European Project ‘THING’2019-03-03T08:16:09+01:00

ORCA Demo – October 2018

Oxford Robotics Institute is part of two Research Hubs which focus on robotics and artificial intelligence (AI) that can be deployed in extreme environments. The hubs, both funded by UK Research and Innovation as part of the UK’s Industrial Strategy Challenge Fund, are ORCA, targeting applications for the offshore oil and gas industry, and [...]

ORCA Demo – October 20182019-03-03T08:22:10+01:00

Reliable Segmentation and Matching in Urban and Natural Environments

In this work we introduce Natural Segmentation and Matching (NSM), an algorithm for reliable localization, using laser, in both urban and natural environments. Current state-of-the-art global approaches do not generalize well to structure-poor vegetated areas such as forests or orchards where clutter and perceptual aliasing prevents reliable extraction of repeatable and distinctive landmarks to be [...]

Reliable Segmentation and Matching in Urban and Natural Environments2018-09-23T12:27:20+01:00

Look just what walked in: ANYmal delivered to ORI

Recently we welcomed a new robot to the ORI mobile robot menagerie: ANYmal. Built by ANYbotics AG, ANYmal is a 35kg torque-controlled quadruped specifically designed to be rugged and to be used in the field for industrial inspections as well as the basic science of motion planning, control and navigation. Researchers and students from [...]

Look just what walked in: ANYmal delivered to ORI2018-07-25T09:21:10+01:00

Where did my robot go? Being robust and cautious during Laser-based Localization

Let’s imagine a scenario where a robot, either walking on two or four legs or moving on wheels, is required to explore a cluttered environment containing corridors, constrictions, uneven terrains or staircases. The robot would process proprioceptive inertial and leg/wheel odometry measurements, as well as exteroceptive observations from a 3D laser scanner. The odometry estimate [...]

Where did my robot go? Being robust and cautious during Laser-based Localization2018-02-15T08:00:01+01:00

Memmo EU Project

The MEMMO (Memory of Motion) Project is an EU H2020 funded project which brings together EU leaders in the field of motion planning and control of dynamic robots. In addition to ORI, partners will include LAAS/CNRS, IDIAP, University of Edinburgh, Max Planck Institute as well as industrial partners such as PAL Robotics, Wandercraft and Airbus. [...]

Memmo EU Project2017-11-27T21:46:04+01:00