Metadata
Title
Oxford Robotics Institute
Category
undergraduate
UUID
81a71ddbf9e04f61abd2b93d18fb288a
Source URL
https://ori.ox.ac.uk/projects/media
Parent URL
https://ori.ox.ac.uk/robots/robotcar
Crawl Time
2026-03-09T03:35:43+00:00
Rendered Raw Markdown
# Oxford Robotics Institute

**Source**: https://ori.ox.ac.uk/projects/media
**Parent**: https://ori.ox.ac.uk/robots/robotcar

## Media

[Haptic Sequential Monte Carlo Localization for Quadrupedal Locomotion in Vision-Denied Scenarios](https://www.youtube.com/watch?v=bdUYqdy9dr0)

[First Steps: Latent Space Control with Semantic Constraints for Quadruped Locomotion](https://www.youtube.com/watch?v=z1UopkfIPhI "First Steps: Latent Space Control with Semantic Constraints for Quadruped Locomotion")

[The Future of Robotics](https://www.youtube.com/watch?v=f9z-oGievbc "The Future of Robotics")

[Self-Supervised Localisation between Range Sensors and Overhead Imagery](https://www.youtube.com/watch?v=pvFw2YhdXLc "Self-Supervised Localisation between Range Sensors and Overhead Imagery")

[Radar as a Teacher: Weakly Supervised Vehicle Detection using Radar Labels](https://www.youtube.com/watch?v=Nubd2db8bg0 "Radar as a Teacher: Weakly Supervised Vehicle Detection using Radar Labels")

[RSL-Net: Localising in Satellite Images From a Radar on the Ground](https://www.youtube.com/watch?v=_kK4PF0MBC4 "RSL-Net: Localising in Satellite Images From a Radar on the Ground")

[Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives](https://www.youtube.com/watch?v=zn_lPor9zCU "Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives")

[Learning from Demonstration with Minimal Human Effort](https://www.youtube.com/watch?v=fNjt69obvC8 "Learning from Demonstration with Minimal Human Effort")

[Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation in Radar](https://www.youtube.com/watch?v=L-PO7nxWpJU "Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation in Radar")

[ORI Highlights - 2019](https://www.youtube.com/watch?v=4XTJTATykbA "ORI Highlights - 2019")

[Team ORIon: RoboCup 2020 Qualification Video](https://www.youtube.com/watch?v=HzPb-2mEJ9Q "Team ORIon: RoboCup 2020 Qualification Video")

[The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset](https://www.youtube.com/watch?v=rzDDDTNxhAo "The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset")

[Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information](https://www.youtube.com/watch?v=eG4Q-j3_6dk "Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information")

[Team ORIon: World Robot Summit (WRS) 2020 Qualification Video](https://www.youtube.com/watch?v=8QhZzqdJImU "Team ORIon: World Robot Summit (WRS) 2020 Qualification Video")

[Betty delivers a paper](https://www.youtube.com/watch?v=MFS-bOdCW6Q "Betty delivers a paper")

[CDT Wheeled Robots 2019](https://www.youtube.com/watch?v=ITDWxtHiRgg "CDT Wheeled Robots 2019")

[Radar-only ego-motion estimation in difficult settings via graph matching](https://www.youtube.com/watch?v=nJeLHNf-U6k "Radar-only ego-motion estimation in difficult settings via graph matching")

[Betty to Blenheim Palace 2019](https://www.youtube.com/watch?v=4jji9P47Kpw "Betty to Blenheim Palace 2019")

[Oxford Robotics Institute 2018](https://www.youtube.com/watch?v=lpOQwlB2yno "Oxford Robotics Institute 2018")

[Fast Global Labelling For Depth-Map Improvement Via Architectural Priors](https://www.youtube.com/watch?v=-f2KRRyV1fU "Fast Global Labelling For Depth-Map Improvement Via Architectural Priors")

[Precise Ego-Motion Estimation with Millimeter-Wave Radar under Diverse and Challenging Conditions](https://www.youtube.com/watch?v=OHcj2A4cPMU "Precise Ego-Motion Estimation with Millimeter-Wave Radar under Diverse and Challenging Conditions")

[Iceland Press Release](https://www.youtube.com/watch?v=5MBTYnlwVsU "Iceland Press Release")

[Surface Edge Explorer (SEE) - Planning Next Best Views Directly from 3D Observations](https://www.youtube.com/watch?v=CuEdGFmOFlE "Surface Edge Explorer (SEE) - Planning Next Best Views Directly from 3D Observations")

[Oxford County Library in the Westgate](https://www.youtube.com/watch?v=oIaYbeXY12c "Oxford County Library in the Westgate")

[Tanner, Saftescu, Bewley, Newman](https://www.youtube.com/watch?v=sQAsOc5owis "Tanner, Saftescu, Bewley, Newman")

[Visual Articulated Tracking in the Presence of Occlusions](https://www.youtube.com/watch?v=bWJjJWJdieA "Visual Articulated Tracking in the Presence of Occlusions")

[Predicting Alignment Risk to Prevent Localization Failure](https://www.youtube.com/watch?v=mTTEpgzPj-8 "Predicting Alignment Risk to Prevent Localization Failure")

[Porav Maddern Newman ICRA18](https://www.youtube.com/watch?v=s8XV1Y6opig "Porav Maddern Newman ICRA18")

[Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry](https://www.youtube.com/watch?v=ebIrBn_nc-k "Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry")

[OC Robotics - Snake Arm](https://www.youtube.com/watch?v=LBEoQ5mG7k8 "OC Robotics - Snake Arm")

[Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks](https://www.youtube.com/watch?v=WUOSmAfeXIw "Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks")

[Scalable Cost Function Learning for Path Planning in Urban Environments](https://www.youtube.com/watch?v=Sdfir_1T-UQ "Scalable Cost Function Learning for Path Planning in Urban Environments")

[Self-driving vehicles trialled in UK public space for the first time](https://www.youtube.com/watch?v=doLUXzQ1OeA "Self-driving vehicles trialled in UK public space for the first time")

[Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy](https://www.youtube.com/watch?v=rbZ8ck_1nZk "Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy")

[Experience Based Classification In Robot Perception](https://www.youtube.com/watch?v=EP-ZKLJtkYA)

[Vote3D: Fast Generic 3D Object Detection](https://www.youtube.com/watch?v=0Q1_nYwLhD0)

[Dense reconstruction - Observatory street](https://www.youtube.com/watch?v=pXLdThb78pE "Dense reconstruction - Observatory street")

[Dense reconstruction - Woodstock road](https://www.youtube.com/watch?v=8cMDGfkK9GU "Dense reconstruction - Woodstock road")

[Dense Reconstruction - Acland corridor](https://www.youtube.com/watch?v=L5ea7laofnk "Dense Reconstruction - Acland corridor")

[FSR2015 LagrangeTV lr](https://www.youtube.com/watch?v=LrNv9QCKH1s "FSR2015 LagrangeTV lr")

[Online Road Segmentation](https://www.youtube.com/watch?v=7pe_jf1PLXA "Online Road Segmentation")

[ICRA2015 PainPlainPlane](https://www.youtube.com/watch?v=XGShGAsCdYk "ICRA2015 PainPlainPlane")

[FARLAP: Fast Robust Localisation using Appearance Priors](https://www.youtube.com/watch?v=8T6_510P-LM "FARLAP: Fast Robust Localisation using Appearance Priors")

[Life-long LIDAR Localisation in Changing Cities](https://www.youtube.com/watch?v=Zo1cRzoI_38 "Life-long LIDAR Localisation in Changing Cities")

[Experience-Based Navigation (EBN)](https://www.youtube.com/watch?v=4rDy5D1agRw "Experience-Based Navigation (EBN)")

[vcharge SemanticMap2014LD](https://www.youtube.com/watch?v=_AzxLkY2MCU "vcharge SemanticMap2014LD")

[AGVflagshipAclandLD](https://www.youtube.com/watch?v=SpRWAPNBM8I "AGVflagshipAclandLD")

[Robust, Long-Term Visual Localisation using Illumination Invariance](https://www.youtube.com/watch?v=WSdFiFscb2E "Robust, Long-Term Visual Localisation using Illumination Invariance")

[Distraction Suppression for Vision-Based Pose Estimation](https://www.youtube.com/watch?v=7ie9fNvcDC4 "Distraction Suppression for Vision-Based Pose Estimation")

[RobotCar UK - Control And Sensing Enabling Autonomous Driving](https://www.youtube.com/watch?v=yaPMmniK4o4 "RobotCar UK - Control And Sensing Enabling Autonomous Driving")

[Show more videos](https://www.youtube.com/playlist?list=UUg_hb0dS-sCMr-W2ApE5Q3w)