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Miguel Xochicale 🧑🏽‍🔬🤖〰️ @_mxochicale

Senior Research Engineer @UCL @ucl_arc, driving innovation in #physicalAI for #Healthcare #SurgTech #MedTech & #ClinicalTranslation Innovating @air4children mxochicale.github.io London/Oxford, England Joined May 2015
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Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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anandmaj @Almondgodd

11 months ago

I trained a 2-arm robot using my Nintendo Switch (+ an action transformer) how I did it + my most interesting takeaways below👇🏼

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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T.Yamazaki @ZappyZappy7

2 days ago

VisualMimic: 人型ロボットは全身運動操作能力を得て、手、足、または肩を使って箱を持ち上げたり押したり、サッカーのドリブルなどをすることができる visualmimic.github.io #humanoid #robot #visual #Sim2Real #LocoManipulation #MotionTracking #visualMimic

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
EmbodiedAIRead Profile Picture

Embodied AI Reading Notes @EmbodiedAIRead

13 hours ago

Learning Unified Force and Position Control for Legged Loco-Manipulation Project: unified-force.github.io Paper: arxiv.org/abs/2505.20829 This paper proposes a unifed RL policy learned in sim that jointly models force and position control without reliance on force sensors,…

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Mustafa @oprydai

3 days ago

3D print robotic arms 3D print robotic arms 3D print robotic arms 3D print robotic arms 3D print robotic arms 3D print robotic arms 3D print robotic arms 3D print robotic arms 3D print robotic arms 3D print robotic arms 3D print robotic arms 3D print robotic arms

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Lysandre @LysandreJik

3 days ago

oLLM: a lightweight Python library for LLM inference build on top of transformers 🔥 Run qwen3-next-80B, GPT-OSS, Llama3, on consumer hardware. Awesome work by Anuar!

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Alexia Jolicoeur-Martineau @jm_alexia

2 days ago

BERT wins, tiny is better

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Google DeepMind @GoogleDeepMind

3 weeks ago

BERT wins, tiny is better https://t.co/orxFJML3Gl

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Unsloth AI @UnslothAI

2 days ago

You can now train OpenAI gpt-oss with Reinforcement Learning in our free notebook! This notebook automatically creates faster kernels via RL. Unsloth RL achieves the fastest inference & lowest VRAM vs. any setup - 0 accuracy loss gpt-oss-20b GRPO Colab: colab.research.google.com/github/unsloth…

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Haochen Shi @HaochenShi74

8 months ago

Time to democratize humanoid robots! Introducing ToddlerBot, a low-cost ($6K), open-source humanoid for robotics and AI research. Watch two ToddlerBots seamlessly chain their loco-manipulation skills to collaborate in tidying up after a toy session. toddlerbot.github.io

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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PyTorch @PyTorch

4 days ago

Join us for a two-day virtual hackathon, hosted by @danielhanchen & the @UnslothAI team, AMD and PyTorch, to build and battle AI agents! Use Unsloth with AMD MI300X GPUs to fine-tune, RL or prompt models to build agents, and then have these agents compete in a bracket-style…

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Joey Hejna @JoeyHejna

4 days ago

It's almost time for #CoRL 2025! A reminder that we're hosting the Data in Robotics workshop this Saturday Sept 27th. We have a packed schedule and are also attempting to livestream the event for those who can't attend in person.

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Yanjie Ze @ZeYanjie

4 days ago

This would be my photo of year arxiv.org/abs/2509.20322

ZeYanjie Profile Picture

Yanjie Ze @ZeYanjie

4 days ago

This would be my photo of year arxiv.org/abs/2509.20322 https://t.co/GvTABtbRR3

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Sakana AI @SakanaAILabs

5 days ago

“Automating the Search for Artificial Life With Foundation Models” is now published in the Artificial Life Journal! 🦎🧠 Article: direct.mit.edu/artl/article/3… ASAL is a method using foundation models to automate the discovery of new artificial lifeforms, accelerating ALIFE research.

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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noriaki_hirose @NoriakiHirose

4 days ago

Website: omnivla-nav.github.io arXiv: arxiv.org/pdf/2509.19480 YouTube: youtube.com/watch?v=h9NgUQ…

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Qwen @Alibaba_Qwen

5 days ago

🚀 We're thrilled to unveil Qwen3-VL — the most powerful vision-language model in the Qwen series yet! 🔥 The flagship model Qwen3-VL-235B-A22B is now open-sourced and available in both Instruct and Thinking versions: ✅ Instruct outperforms Gemini 2.5 Pro on key vision…

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
EmbodiedAIRead Profile Picture

Embodied AI Reading Notes @EmbodiedAIRead

4 days ago

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model Project: vla-adapter.github.io Paper: arxiv.org/abs/2509.09372 Code: github.com/OpenHelix-Team… Models: huggingface.co/VLA-Adapter This paper analyzed various ways of using Vision-Language model…

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
UnslothAI Profile Picture

Unsloth AI @UnslothAI

6 days ago

We're teaming up with @MistralAI and @nvidia for an Unsloth event on Tues, Oct 21 at @ycombinator's office! 🦥 Join us in San Francisco for a night of talks, merch and more. Food & drinks provided. RSVP required! ⭐ lu.ma/unsloth-yc

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Haoyang Weng @CoRL2025 @ElijahGalahad

6 days ago

We present HDMI, a simple and general framework for learning whole-body interaction skills directly from human videos — no manual reward engineering, no task-specific pipelines. 🤖 67 door traversals, 6 real-world tasks, 14 in simulation. 🔗 hdmi-humanoid.github.io

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Qwen @Alibaba_Qwen

6 days ago

🚀 Introducing Qwen3-Omni — the first natively end-to-end omni-modal AI unifying text, image, audio & video in one model — no modality trade-offs! 🏆 SOTA on 22/36 audio & AV benchmarks 🌍 119L text / 19L speech in / 10L speech out ⚡ 211ms latency | 🎧 30-min audio…

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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DeepSeek @deepseek_ai

6 days ago

🚀 DeepSeek-V3.1 → DeepSeek-V3.1-Terminus The latest update builds on V3.1’s strengths while addressing key user feedback. ✨ What’s improved? 🌐 Language consistency: fewer CN/EN mix-ups & no more random chars. 🤖 Agent upgrades: stronger Code Agent & Search Agent performance.…

Miguel Xochicale 🧑🏽‍🔬🤖〰️ retweeted
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Unitree @UnitreeRobotics

6 days ago

Unitree G1 has mastered more quirky skills 🤩 Unitree G1 has learned the "Anti-Gravity" mode: stability is greatly improved under any action sequence, and even if it falls, it can quickly get back up.

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