Physical AI, robots, and autonomous systems
![[2512.19576] LeLaR: The First In-Orbit Demonstration of an AI-Based Satellite Attitude Controller](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2512.19576: LeLaR: The First In-Orbit Demonstration of an AI-Based Satellite Attitude Controller
Abstract page for arXiv paper 2511.14565: Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language
Abstract page for arXiv paper 2511.12882: Towards High-Consistency Embodied World Model with Multi-View Trajectory Videos
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...
This paper introduces a novel Gaussian Process model for quadrotor dynamics that integrates gradient information, enabling real-time infe...
The paper presents MiDAS, an open-source multimodal data acquisition system for robot-assisted minimally invasive surgery, enabling synch...
The paper presents ARMOR, a self-refining vision language model designed for robotic failure detection and reasoning, achieving significa...
This paper explores quantization-aware collaborative inference for large embodied AI models, addressing challenges in resource-limited en...
The paper presents TCRL, a novel framework for robust constrained reinforcement learning that addresses challenges posed by temporally co...
This paper introduces the Dual-Granularity Contrastive Reward framework, which enhances sample efficiency in reinforcement learning (RL) ...
This paper presents a novel framework for multi-agent model-based reinforcement learning, integrating joint state-action representation l...
The paper presents Aura, a secure mobile agent operating system designed to address vulnerabilities in current app-centric models by impl...
This article presents a novel driving strategy to mitigate stop-and-go traffic waves using a jam-absorption technique inspired by police-...
The paper introduces GISA, a benchmark designed for evaluating General Information-Seeking Assistants, addressing limitations in existing...
The paper presents MANGO, a novel image translation method that enhances viewpoint robustness in robot manipulation policies using fixed-...
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