Advanced Intelligent Robotics Lab (AIR), Edinburgh
@AIRoboticsLabEd
Advanced Intelligent Robotics Lab @ University of Edinburgh
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We are happy to announce that our Case Study, in the CDT Conference for Robotics and Autonomous Systems (RAS) 2021, was selected the best among other high quality research projects! 🥳🥳🥳Stay tuned for more. For more information on our paper - DOI: 10.1109/MRA.2021.3090070
Meta-Learning for Fast Adaptive Locomotion at IROS youtu.be/FyKAOPtqKig via @YouTube
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Meta-Learning for Fast Adaptive Locomotion with Uncertainties in...
BBC Tech News reports our AIR lab's research published in Science Robotics: bbc.co.uk/news/amp/busin…
How do you teach an artificial intelligence to move around our world, which is so full of obstacles? At Edinburgh University an AI has been controlling a robotic dog which has learnt to navigate situations it has never seen before. More here. bbc.co.uk/news/business-…
A new step towards autonomous motor behaviours, inspired by @ChrisAtkeson back in 2015. Paper links: - Science Robotics: robotics.sciencemag.org/content/5/49/e… & Arxiv arxiv.org/abs/2012.05810
.@InfAtEd, @ZJU_China researchers devised a new deep learning architecture that can combine pre-learned skills to create new skills on the fly. A four-legged robot using the #AI quickly navigated complicated situations, such as recovering from a fall: fcld.ly/spk3rix
We are very excited to share our first glimpse in fully autonomous grasping and docking from real demonstrations. 🥳 More to come, stay tuned🤖🤖
Very proud to announce our paper has been published in @SciRobotics December issue!! We generate adaptive locomotion skills by learning from a set of individual experts which enables robust locomotion on real robots.🤖 Read and watch at bit.ly/SciRobAIRLab
We're in the news!!! 🤖 Check out this @newscientist article about our latest work on machine learning for versatile locomotion
Paper accepted to Robotics and Automation Magazine and presentation at #IROS2020 'Decoding Motor Skills of AI and Human Policies: A Study on Humanoid and Human Balance Control' shows analysis of DRL policies can augment other control methods Paper: bit.ly/2WktGvT
Recent publications no.4 at #ICRA2020 'Unified Push Recovery Fundamentals: Inspiration from Human Study' Common elements in human push recovery strategies are formulated as an MPC Paper bit.ly/2Cbg2Uo Video bit.ly/3guFT8L
Our #IROS2020 paper 'Optimisation of Body-ground Contact for Augmenting Whole-Body Loco-manipulation of Quadruped Robots' was accepted! Adding additional contact points to quadruped robots opens up new possibilities for manipulation! Preprint: arxiv.org/pdf/2002.10552…
Recent publications no.3 at #ICRA2020 & RA-L 'Learning natural locomotion behaviors for humanoid robots using human bias' Our new learning framework shows how imitation can produce more natural walking in humanoids Paper bit.ly/3dXASnE Video bit.ly/3eVKlgB
Recent publications no.2 at #ICRA2020 'Force-guided High-precision Grasping Control of Fragile and Deformable Objects using sEMG-based Force Prediction' EMG signals are used to help robots manipulate fragile objects Paper bit.ly/3dUYtVX Video bit.ly/2D3rodN
Highlighting our work at ICRA 2020: 'Learning Pregrasp Manipulation of Objects from Ungraspable Poses', which presents methods of learning pregrasp behaviours to help in the manipulation of difficult to grasp objects Paper bit.ly/3idxFUa Video bit.ly/38fuMOf
Feeling a sense of touch -- teleoperation using HaptX gloves
Received an old photo taken during the UK-Japan workshop organized by the Alan Turing Insitute.
AI-powered, super robust, autonomous stair climbing against disturbances! Now, full onboard sensing & control, and it never fails!
Autonomous stair climbing for last-mile delivery robot.
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