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Statistical Machine Learning and Motor Control Group

Edinburgh, Scotland, UK
Joined December 2019
Photo by SLMC (@EdinRobotML)Photo by SLMC (@EdinRobotML)Photo by SLMC (@EdinRobotML)Photo by SLMC (@EdinRobotML)Photo by SLMC (@EdinRobotML)Photo by SLMC (@EdinRobotML)
We are hiring! Check out the full details of our Research Associate vacancy below, and if you match our criteria, don't hesitate to get in touch or hit apply. Closing date 2 February 2025. bit.ly/3PzswaX
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Congratulations to the authors of paper "Online Multi-Contact Receding Horizon Planning via Value Function Approximation" recently published in @IeeeTro and presented at ICRA@40, Rotterdam
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Congratulations @hferrolho, Vladimir Ivan, @wxmerkt, Ioannis Havoutis and @sethuvij on your paper published in Autonomous Robots 'RoLoMa: robust loco-manipulation for quadruped robots with arms' open access bit.ly/49b4nQq supplementing videos bit.ly/3SHk6B0
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Highlighting the recently published paper in Mechatronics by Ke Wang, @guiyangxin, Songyan Xin, @mikemistry, @sethuvij and @Petar_Kormushev 'A unified model with inertia shaping for highly dynamic jumps of legged robots' Full details: bit.ly/3qOmtGU
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Introducing our recently accepted paper at RO-Man 2023 by Ruaridh Mon-Williams, @t_stou and @sethuvij 'A Behavioural Transformer for Effective Collaboration between a Robot and a Non-stationary Human' pdf: bit.ly/3KOvvKJ youtube.com/watch?v=esddnp3b…
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Congratulations to @CarlosMastalli, Saroj Prasad Chhatoi, Thomas Corbères, Steve Tonneau and @sethuvij on their paper published in @IeeeTro and being presented at #IROS2023 'Inverse-Dynamics MPC via Nullspace Resolution' bit.ly/3KIx3pz youtube.com/watch?v=NhvSUVop…
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Congratulations Juan Del Aguila Ferrandis, @JoaoPousaMoura and @sethuvij on the recently accepted paper at #IROS2023 'Nonprehensile Planar Manipulation through Reinforcement Learning with Multimodal Categorical Exploration' Pdf bit.ly/3qxCCAd youtu.be/vTdva1mgrk4
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👏Huge congratulations to (Dr.) Ran Long for successfully passing his DPhil viva 'Robust SLAM and motion segmentation under long-term dynamic large occlusions' on 10 July 2023. Thanks to examiners Prof Hakan Bilen & Prof Andrew Davison. Well done Ran!
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🌠A huge congratulations to @daniel_fng Andreas Christou @t_stou Michael Gienger & @sethuvij for the recently published @royalsociety paper 'Adaptive assistive robotics: a framework for triadic collaboration between humans and robots'. Further info: royalsocietypublishing.org/d…
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👏Congratulations to (Dr.) Russell Buchanan for passing his DPhil viva 'Inertial Learning and Haptics for Legged Robot State Estimation in Visually Challenging Environments' on 9 June 2023. Thanks to examiners Prof Niki Trigoni and Prof Dimitrios Kanoulas. Well done @raabuchanan
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👏Congratulations to @EDINrobotics (Dr.) Traiko Dinev for passing his #PhD viva 'Concurrent Design and Motion Planning in Robotics using Differentiable Optimal Control'. Thanks to examiners Dr Nicolas Mansard and Dr Michael Mistry. Well done @traikodinev !
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👏Congratulations to (Dr.) Jiayi Wang @jjiayu889 for passing his #PhD viva on 'Online Receding Horizon Planning of Multi-Contact Locomotion'. We are all very excited to see what the future holds for you!
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Set up and ready to go at #ICRA2023! Come and join us in ICC Capital Suite 7 @DeepMind @turinginst @eu_harmony
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This week @sethuvij will be delivering one of the prestigious #ICRA2023 keynotes entitled 'From Automation to Autonomy: Machine Learning for Next-generation Robotics' on Thurs 1 June, 5pm at the Main ICC Auditorium for Plenary and Keynotes. Further info: bit.ly/3qcRfZg
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Check out our next paper at #ICRA2023 'OpTaS: An Optimization-based Task Specification Library for Trajectory Optimization and Model Predictive Control' Pdf: bit.ly/429JZdO YouTube: bit.ly/45zpIRO
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Congratulations @chrisemower @JoaoPousaMoura Nazanin Zamani Behabadi, @sethuvij Tom Vercauteren and Christos Bergeles Supported by @turinginst @eu_harmony @KawadaRobotics
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Congratulations @daniel_fng Andreas Christou, @t_stou Michael Geinger @sethuvij on the recently accepted #ICRA2023 paper 'Learning Personalised Human Sit-to-Stand Motion Strategies via Inverse Musculoskeletal Optimal Control'. Pdf 👉 bit.ly/43gIMTH
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Supported by @turinginst and Honda Research EU
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