Papers16

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#robot manipulation

$π$-StepNFT: Wider Space Needs Finer Steps in Online RL for Flow-based VLAs

Intermediate

Siting Wang, Xiaofeng Wang et al.Mar 2arXiv

Robots that read images and instructions (VLAs) get stuck following a narrow, fragile path after normal training.

#vision-language-action#flow matching#stochastic differential equations

Not triaged yet

World Guidance: World Modeling in Condition Space for Action Generation

Intermediate

Yue Su, Sijin Chen et al.Feb 25arXiv

WoG (World Guidance) teaches a robot to imagine just the right bits of the near future and use those bits to pick better actions.

#Vision-Language-Action#world modeling#condition space

Not triaged yet

TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics

Intermediate

Shirui Chen, Cole Harrison et al.Feb 22arXiv

Robots learn better when they get small hints at every step instead of only a final thumbs-up or thumbs-down.

#TOPReward#token probabilities#logits

Not triaged yet

RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning

Beginner

Seungku Kim, Suhyeok Jang et al.Feb 21arXiv

RoboCurate is a way to make better robot training videos by checking if the actions in a generated video actually match what a robot would do in a simulator.

#RoboCurate#neural trajectory#action verification

Not triaged yet

VLANeXt: Recipes for Building Strong VLA Models

Intermediate

Xiao-Ming Wu, Bin Fan et al.Feb 20arXiv

This paper studies Vision–Language–Action (VLA) robots under one fair setup to find which design choices truly matter.

#Vision-Language-Action#robot manipulation#flow matching

Not triaged yet

A Pragmatic VLA Foundation Model

Intermediate

Wei Wu, Fan Lu et al.Jan 26arXiv

LingBot-VLA is a robot brain that listens to language, looks at the world, and decides smooth actions to get tasks done.

#Vision‑Language‑Action#foundation model#Flow Matching

Not triaged yet

IVRA: Improving Visual-Token Relations for Robot Action Policy with Training-Free Hint-Based Guidance

Beginner

Jongwoo Park, Kanchana Ranasinghe et al.Jan 22arXiv

IVRA is a simple, training-free add-on that helps robot brains keep the 2D shape of pictures while following language instructions.

#Vision-Language-Action#affinity map#training-free guidance

Not triaged yet

PROGRESSLM: Towards Progress Reasoning in Vision-Language Models

Intermediate

Jianshu Zhang, Chengxuan Qian et al.Jan 21arXiv

This paper asks a new question for vision-language models: not just 'What do you see?' but 'How far along is the task right now?'

#progress reasoning#vision-language models#episodic retrieval

Not triaged yet

LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries

Intermediate

Shijie Lian, Bin Yu et al.Jan 21arXiv

Robots often learn a bad habit called the vision shortcut: they guess the task just by looking, and ignore the words you tell them.

#Vision-Language-Action#Bayesian decomposition#Latent Action Queries

Not triaged yet

TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers

Intermediate

Bin Yu, Shijie Lian et al.Jan 20arXiv

TwinBrainVLA is a robot brain with two halves: a frozen generalist that keeps world knowledge safe and a trainable specialist that learns to move precisely.

#Vision-Language-Action#catastrophic forgetting#Asymmetric Mixture-of-Transformers

Not triaged yet

Future Optical Flow Prediction Improves Robot Control & Video Generation

Intermediate

Kanchana Ranasinghe, Honglu Zhou et al.Jan 15arXiv

FOFPred is a new AI that reads one or two images plus a short instruction like “move the bottle left to right,” and then predicts how every pixel will move in the next moments.

#optical flow#future optical flow prediction#vision-language model

Not triaged yet

PhysBrain: Human Egocentric Data as a Bridge from Vision Language Models to Physical Intelligence

Intermediate

Xiaopeng Lin, Shijie Lian et al.Dec 18arXiv

Robots learn best from what they would actually see, which is a first-person (egocentric) view, but most AI models are trained on third-person videos and get confused.

#egocentric vision#first-person video#vision-language model

Not triaged yet

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