Andres Vilariño (@andresvilarino)

해양 환경은 압력, 부식, 낮은 시야, 실패 여유 없음 때문에 자동화가 매우 어렵다. Heyman Tech의 방수형 휴머노이드 손은 이런 극한 환경용 로봇 하드웨어의 가능성을 보여주는 소식으로, 수중/해양 로보틱스 응용에 의미가 있다.

https://x.com/andresvilarino/status/2059244281680781348

#robotics #humanoid #hardware #automation #ocean

Andres Vilariño 🇪🇦 (@andresvilarino) on X

The ocean is one of the hardest places to automate. Pressure. Corrosion. Low visibility. Zero room for failure. Heyman Tech’s waterproof humanoid hand is a small piece of hardware with a very large implication. via @TheHumanoidHub #Robotics

X (formerly Twitter)
3D-printable humanoid legs let robotics experiments run wild. Via @arstechnica #Robotics 🤖

3D-printable humanoid legs let...
3D-printable humanoid legs let robotics experiments run wild

Hugging Face debuts $2,500 bipedal robot project for builders and researchers.

Ars Technica
Reinforcement Learning Part 4: Expected Return, Value Functions, and Bellman Equations - Shawn Hymel

In the previous post, we defined a policy, provided the foundational concept of a Markov Decision Process (MDP), and talked about trajectories. We’re going to

Shawn Hymel
NASA’s Moon Base Plan Adds Two Rovers for Its Astronauts

The contracts, announced on Tuesday, are part of the space agency’s efforts to establish a moon base.

The New York Times
NASA’s Moon Base Plan Adds Two Rovers for Its Astronauts

The contracts, announced on Tuesday, are part of the space agency’s efforts to establish a moon base.

The New York Times
NASA’s Moon Base Plan Adds Two Rovers for Its Astronauts

The contracts, announced on Tuesday, are part of the space agency’s efforts to establish a moon base.

The New York Times
Uber burned through its entire 2026 AI budget in four months. Now its COO is questioning whether it’s worth it

The rideshare giant's COO says “it’s very hard to draw a line” between rising AI costs and useful features for customers.

Fortune

We are headed to #ICRA 2026!

We will be showcasing two of our latest research breakthroughs at the International Conference on Robotics and Automation (ICRA) next week.
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1️⃣ D-CAT 😼: Decoupled Cross-modal Knowledge Transfer
📍 Track: Interactive Session 6 − Hall C (Poster Session)
📅 Date/Time: Thursday, 15:00-16:30, Paper ThI2I.59
🧑‍🔬 Authors: Leen Daher,* Zhaobo Wang, Malcolm Mielle

Our work on D-CAT solves a major real-world challenge: training a system with rich, multi-modal data (like video, IMU, and audio) but allowing it to operate using only a single sensor during inference.

By enabling cross-modal knowledge transfer, D-CAT reduces hardware redundancy and costs without sacrificing accuracy—even showing up to a 10% F1-score gain in certain scenarios!

Paper: https://arxiv.org/pdf/2509.09747

* Leen Daher is currently searching for a PhD/job in the EU, and will be presenting in person.
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2️⃣ Unpaired Multi-Modal Reconstruction 📸🔥
📍 Track: Workshop Paper - MM-SpatialAI Workshop
📅 Date/Time: June 1st
🧑‍🔬 Authors: Jean Cordonnier, Chenghao Xu, Olga Fink, Malcolm Mielle

We introduces a framework for independent RGB-Thermal Novel View Synthesis reconstruction. We’ve developed a framework combining VGGT, feature matching, and multi-modal 3DGS to accept decoupled RGB/TIR image sets, proving that misalignment between modalities doesn't have to compromise the quality of the reconstruction.

#ICRA2026 #Robotics #MachineLearning #ComputerVision #MultiModal #SensorFusion