Physical AI, robots, and autonomous systems
![[2512.16705] Olaf: Bringing an Animated Character to Life in the Physical World](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2512.16705: Olaf: Bringing an Animated Character to Life in the Physical World
Abstract page for arXiv paper 2510.13714: DeDelayed: Deleting Remote Inference Delay via On-Device Correction
Abstract page for arXiv paper 2604.02226: When to ASK: Uncertainty-Gated Language Assistance for Reinforcement Learning
The paper introduces GRAIL, a method for recognizing agent goals through imitation learning, enhancing goal recognition accuracy in AI sy...
The paper presents Cast-R1, a novel framework for time series forecasting that reformulates the problem as a sequential decision-making t...
The paper introduces CORPGEN, a framework for simulating corporate environments using autonomous digital employees, addressing long-horiz...
The article presents Plan-MCTS, a novel framework for enhancing web navigation through improved exploration and state perception, address...
The paper presents HBVLA, a framework for 1-bit post-training quantization of Vision-Language-Action models, enhancing efficiency while m...
This paper presents a novel framework for denoising magnetic navigation data using physics-aware neural networks, addressing challenges i...
This paper presents a Physics-guided Causal Model for trajectory prediction in autonomous driving, focusing on zero-shot generalization a...
This paper introduces MOC-HER and 2HER, methods that enhance Hierarchical Reinforcement Learning by improving performance in sparse rewar...
The paper presents PhGPO, a novel approach for long-horizon tool planning that utilizes pheromone-guided policy optimization to enhance t...
The paper presents a novel framework for autonomous GUI navigation using Agentic-Q estimation and step-wise policy optimization, enhancin...
The paper presents OpAgent, an innovative online reinforcement learning agent designed for effective web navigation, achieving a state-of...
NeuroWeaver is an autonomous evolutionary agent designed to optimize EEG analysis pipelines, addressing data constraints and computationa...
This article discusses the extension of Belief-Desire-Intention (BDI) agents to provide contrastive explanations, enhancing transparency ...
The paper introduces X-Blocks, a framework for analyzing natural language explanations in automated vehicles, enhancing user trust and un...
A security audit reveals over 18,000 exposed OpenClaw instances and alarming findings of malicious instructions in 15% of community-built...
The paper presents a novel approach to the Rising Multi-Armed Bandit (RMAB) problem, introducing CUmulative Reward Estimation UCB (CURE-U...
This article presents a framework called Perceive-Simulate-Imitate (PSI) for training robots to learn manipulation skills from human vide...
The paper presents MASAR, a novel framework for joint 3D detection and trajectory forecasting that enhances performance by integrating mo...
Xiaomi-Robotics-0 is an advanced open-sourced vision-language-action model designed for real-time execution, showcasing state-of-the-art ...
This paper presents a novel composable model-free reinforcement learning approach for navigation in dynamic environments, focusing on rea...
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