Congrats to @Jiamingnus and the CLeAR Lab team for topping the AI leaderboard at Earth Rover Challenge 2025! Still behind humans but we're closing the gap with real progress. More soon on the method and system!
The 2nd Earth Rover Challenge (8 AI teams vs 5 Human Gamers taking on real-world robotic navigation missions in 8 cities) has ended! Humanity prevails!
Big shoutout to our co-organizers from Google Deepmind, Meta AI and academia & gamers from @YieldGuild
Here's how it went down at #ICRA2025 - 1/n 🧵:
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I'm thrilled to share that Tasbolat Taunyazov has successfully passed his viva with his dissertation "Grasp, Feel, Act: Towards Object Manipulation using Vision and Touch"! Congratulations, Tasbolat, on this well-deserved achievement! 🎉
#Robotics #VisionAndTouch #NUS
#Robotics #VisionAndTouch #NUS
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🌟 Great talk by Tas on GRaCE at R:SS! GRaCE translates rankings over criteria (e.g. stability, safety, functionality) into a expected utility function and optimizes using a blend of gradient and gradient-free approaches.
🔗 Learn more: clear-nus.github.io/blog/grace #Robotics #AI
🔗 Learn more: clear-nus.github.io/blog/grace #Robotics #AI
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Will be at the Safe-HRI Workshop at R:SS'24 to share our work on incorporating safety and norms when sampling from diffusion models. Join us at 4pm at ME C - Bernoulli
Workshop: sites.google.com/view/safe-hri/
Workshop: sites.google.com/view/safe-hri/
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Harold Soh retweeted
Congrats @haroldsoh - standing room only for a super keynote #ICRA2024 - he's making Generative Models really work for Robot Learning and is optimistic about the future!
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CLeAR Alum, Fatir @solitarypenman in action at NeurIPS showing off his awesome "missed-out Spotlight" work! 😂 #NeurIPS #CLeARAlum #UndercoverSpotlight
Paper: arxiv.org/abs/2307.11494
Paper: arxiv.org/abs/2307.11494
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Alvin showcased his 🌟spotlight 🌟work on enabling models like Stable Diffusion to selectively forget. It's a step towards AI model governance. Wish I could've been there! 🤖🧠 #NeurIPS #AI #MachineLearning #ResearchHighlight
Paper: arxiv.org/abs/2305.10120
Paper: arxiv.org/abs/2305.10120
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What a week! Started with a trip to Korea to present an Early Career talk at R:SS'23. Then a red-eye flight back to Singapore to celebrate commencement with my first two PhD students @xie_yaqi and @abdulfatir, along with the successful thesis defence of #3, Sreejith!
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Looking for an Research Assistant interested in working at the intersection of robot navigation and communication. We'll be working with a quadruped robot in crowded environments. If you are keen, contact me with your CV. #research #researchopportunity #jobalert #clearlab
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Congrats to Fatir and the team for their brilliant work on effective continuous-discrete state space models! We started this in Aug 2021 and it's a fantastic outcome. Thank you also to the AC who managed the review process and dug into the work. arxiv.org/abs/2301.11308
Elated to announce that our paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series" got accepted at ICML 2023 for ✨oral✨ presentation. Congratulations to my amazing co-authors @alvinhengjr, Andre and @haroldsoh!
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Harold Soh retweeted
Elated to announce that our paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series" got accepted at ICML 2023 for ✨oral✨ presentation. Congratulations to my amazing co-authors @alvinhengjr, Andre and @haroldsoh!
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I'm wondering how GPT 4 will perform as a human model for HRI. GPT 3.5 already works surprisingly well (with some limitations) arxiv.org/abs/2303.03548
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Harold Soh retweeted
Excited to share our #NeurIPS2021 paper "Deep Explicit Duration Switching Models for Time Series"!
We propose a non-linear switching state space model for improved modeling of state-dependent and time-dependent switching dynamics in time series data.
We propose a non-linear switching state space model for improved modeling of state-dependent and time-dependent switching dynamics in time series data.
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Congrats to Tasbolat, Shui Song, Eugene and our collaborators Hian Hian, David and Ben for winning the *Best Paper Award* at IROS 2021! :D arxiv.org/abs/2106.00489
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Congrats to Fatir @solitarypenman and our Amazon collaborators on their paper acceptance at Neurips 2021! :) Very nice work on time series modeling with deep networks. Paper coming soon!
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Looking for Postdocs and Research Assistants for projects in assistive robots and human-robot/AI collaboration. If you are interested, take a look at our website (clear-nus.github.io) and send me an email with your CV and research interests.
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Harold Soh retweeted
As @NeurIPSConf #NeurIPS2021 deadline approaches, I've consolidated some technical writing tips.
Succinct answers to each of the questions,
Voila, you have a crisp Introduction!
Expand on prior work, intuition/tech details, & expts for the rest ensuring the why is always clear
Succinct answers to each of the questions,
Voila, you have a crisp Introduction!
Expand on prior work, intuition/tech details, & expts for the rest ensuring the why is always clear
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2 weeks in review: 2 deadlines missed. 2 ICRA papers accepted. 2 grant proposals approved. 1 paper and 1 grant proposal submitted. 7 reviews written.
But the highlight was spending some quality time with my little cutie-pie.
But the highlight was spending some quality time with my little cutie-pie.
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Want to improve samples from your deep generative model? New work from my PhD student @solitarypenman shows we can refine samples via gradient flows. Appearing at #ICLR2021.
clear-nus.github.io/project/dgflow
clear-nus.github.io/project/dgflow
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