# Robo-Dopamine: Dense Reward Learning for High-Precision Robot Manipulation

In a recent preprint (Tan et al., *Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic Manipulation*), researchers from Peking University, BAAI, University of Sydney and related institutions tackle...

# AstraNav-Memory: Compressing Visual Context for Lifelong Navigation

Recent work by Botao Ren, Junjun Hu, Xinda Xue and others (Alibaba’s Amap, Tsinghua, Peking) introduces **AstraNav-Memory: Contexts Compression for Long Memory**, a method for giving embodied agents a much longer “visual memor...

# DexWM: World Models for Dexterous Manipulation from Human Videos

Dexterous manipulation – the art of using multi-fingered hands to pick, place, twist, or otherwise manipulate objects – remains a towering challenge in robotics. Even seemingly simple tasks like picking up a delicate object or f...

# Video-Action Models: Generalizing Robot Control with Video Diffusion

In a new preprint titled *“mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs”* (Pai et al., arXiv 25 Dec 2025), Jonas Pai and colleagues (from Mimic Robotics, Microsoft Zurich, ETH Zurich, ETH AI Ce...

# Calibrated Confidence in Controllable Video Models

In the recent preprint *“World Models That Know When They Don't Know: Controllable Video Generation with Calibrated Uncertainty”* (Mei et al., 2025) ([huggingface.co](https://huggingface.co/papers/2512.05927#:~:text=empower%20video%20models%20...

# DexWM: World-Modeling Dexterous Manipulation from Human Videos

In this episode we dive into a new framework for dexterous manipulation: **“World Models Can Leverage Human Videos for Dexterous Manipulation”** by Raktim Gautam Goswami, Amir Bar, David Fan, Tsung-Yen Yang, Gaoyue Zhou, Prashanth ...

# Scaling Up Offline Model-Based RL with Action Chunks (MAC)

In *“Scalable Offline Model-Based RL with Action Chunks”* (Park et al., 2025) – by Kwanyoung Park, Seohong Park, Youngwoon Lee, and Sergey Levine (UC Berkeley and Yonsei Univ.) – the authors tackle a central problem in offline reinforc...

# Emergent Human-to-Robot Transfer in Vision-Language-Action Models

**Simar Kareer, Karl Pertsch, James Darpinian, Judy Hoffman, Danfei Xu, Sergey Levine, Chelsea Finn, Suraj Nair

Physical Intelligence (PI); Georgia Tech – *“Emergence of Human to Robot Transfer in Vision-Language-Action Models...

# DexScrew: Learning Dexterous Manipulation from “Imperfect” Simulations

*Learning Dexterous Manipulation Skills from Imperfect Simulations* is a recent preprint by Hsieh *et al.* (Dec 2025) from UC Berkeley (Elvis Hsieh*, Wen-Han Hsieh*, Yen-Jen Wang*, Toru Lin, Jitendra Malik, Koushil Sreenath...

# X-Humanoid: Robotizing Human Videos into Humanoid Videos

A new preprint titled **“X-Humanoid: Robotize Human Videos to Generate Humanoid Videos at Scale”** (Pei Yang, Hai Ci, Yiren Song, Mike Zheng Shou, NUS, Dec 2025) tackles a fundamental data bottleneck in embodied AI. The authors note that...