ArXiv TLDR

Jiaming Liu

4 papers · Latest:

Robotics

HarmoWAM: Harmonizing Generalizable and Precise Manipulation via Adaptive World Action Models

HarmoWAM unifies predictive and reactive control in robot manipulation, achieving both generalizable transit and precise interaction through adaptive expert coordination.

2605.10942
Robotics

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models

LaST-R1 enhances VLA models with adaptive latent physical reasoning and a new RL algorithm, LAPO, achieving near-perfect robotic manipulation.

2604.28192
Robotics

Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training

Hi-WM enables scalable robot post-training by allowing human intervention directly within a learned world model, reducing real-world execution needs.

2604.21741
Artificial Intelligence

RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time

RationalRewards uses explicit, multi-dimensional critiques to improve visual generation at both training and test time, outperforming scalar rewards.

2604.11626

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