Robotics
SMASH2000, an AI-powered optic that turns an AR-15 into an anti-drone platform
submitted by /u/Sgt_Gram [link] [comments]
Reddit - Artificial Intelligence
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1 min
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Robotics & Embodied AI
Physical AI, robots, and autonomous systems
Top This Week
Machine Learning
Nomadic raises $8.4 million to wrangle the data pouring off autonomous vehicles | TechCrunch
The company turns footage from robots into structured, searchable datasets with a deep learning model.
TechCrunch - AI
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6 min
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Machine Learning
The AI Chip War is Just Getting Started
Everyone talks about AI models, but the real bottleneck might be hardware. According to a recent study by Roots Analysis: AI chip market ...
Reddit - Artificial Intelligence
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1 min
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All Content
![[2602.13052] Quantization-Aware Collaborative Inference for Large Embodied AI Models](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Machine Learning
[2602.13052] Quantization-Aware Collaborative Inference for Large Embodied AI Models
This paper explores quantization-aware collaborative inference for large embodied AI models, addressing challenges in resource-limited en...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.13040] TCRL: Temporal-Coupled Adversarial Training for Robust Constrained Reinforcement Learning in Worst-Case Scenarios
The paper presents TCRL, a novel framework for robust constrained reinforcement learning that addresses challenges posed by temporally co...
arXiv - Machine Learning
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4 min
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Machine Learning
[2602.12636] Dual-Granularity Contrastive Reward via Generated Episodic Guidance for Efficient Embodied RL
This paper introduces the Dual-Granularity Contrastive Reward framework, which enhances sample efficiency in reinforcement learning (RL) ...
arXiv - Machine Learning
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4 min
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Machine Learning
[2602.12520] Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
This paper presents a novel framework for multi-agent model-based reinforcement learning, integrating joint state-action representation l...
arXiv - Machine Learning
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3 min
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Llms
[2602.10915] Blind Gods and Broken Screens: Architecting a Secure, Intent-Centric Mobile Agent Operating System
The paper presents Aura, a secure mobile agent operating system designed to address vulnerabilities in current app-centric models by impl...
arXiv - AI
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4 min
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Ai Agents
[2602.10234] Transforming Policy-Car Swerving for Mitigating Stop-and-Go Traffic Waves: A Practice-Oriented Jam-Absorption Driving Strategy
This article presents a novel driving strategy to mitigate stop-and-go traffic waves using a jam-absorption technique inspired by police-...
arXiv - AI
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4 min
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Llms
[2602.08543] GISA: A Benchmark for General Information-Seeking Assistant
The paper introduces GISA, a benchmark designed for evaluating General Information-Seeking Assistants, addressing limitations in existing...
arXiv - AI
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4 min
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Nlp
[2601.09605] Sim2real Image Translation Enables Viewpoint-Robust Policies from Fixed-Camera Datasets
The paper presents MANGO, a novel image translation method that enhances viewpoint robustness in robot manipulation policies using fixed-...
arXiv - AI
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4 min
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Llms
[2508.05004] R-Zero: Self-Evolving Reasoning LLM from Zero Data
The article presents R-Zero, a self-evolving reasoning LLM that autonomously generates training data, improving AI capabilities without h...
arXiv - Machine Learning
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4 min
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Robotics
[2507.12108] Multimodal Coordinated Online Behavior: Trade-offs and Strategies
This paper explores multimodal coordinated online behavior, analyzing trade-offs between different integration strategies and their effec...
arXiv - Machine Learning
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4 min
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Machine Learning
[2503.22809] Data-Driven Worker Activity Recognition and Efficiency Estimation in Manual Fruit Harvesting
This study presents a data-driven system for recognizing worker activities and estimating efficiency in manual fruit harvesting, specific...
arXiv - Machine Learning
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4 min
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Llms
[2510.23883] Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges
This article explores the security implications of agentic AI systems, detailing specific threats, defense strategies, and evaluation met...
arXiv - AI
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3 min
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Ai Agents
[2510.07117] The Conditions of Physical Embodiment Enable Generalization and Care
This paper explores how physical embodiment in artificial agents can enhance their ability to generalize and provide care in uncertain en...
arXiv - Machine Learning
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4 min
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Llms
[2602.13156] In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach
This article presents a novel approach to network incident response using a large language model (LLM) that autonomously learns and adapt...
arXiv - AI
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4 min
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Machine Learning
[2602.13071] Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
This paper introduces MobTA, a novel approach for generating mobility trajectories without requiring real data from the target city, usin...
arXiv - Machine Learning
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4 min
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Machine Learning
[2602.13061] Diverging Flows: Detecting Extrapolations in Conditional Generation
The paper introduces Diverging Flows, a method for detecting extrapolations in conditional generation models, enhancing safety in applica...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.12983] Detecting Object Tracking Failure via Sequential Hypothesis Testing
This paper presents a method for detecting object tracking failures using sequential hypothesis testing, enhancing safety in computer vis...
arXiv - AI
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4 min
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Machine Learning
[2602.12978] Learning Native Continuation for Action Chunking Flow Policies
This paper presents Legato, a novel training-time continuation method for action chunking in Vision Language Action models, enhancing tra...
arXiv - AI
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3 min
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Robotics
[2602.12924] Never say never: Exploring the effects of available knowledge on agent persuasiveness in controlled physiotherapy motivation dialogues
This article examines how the availability of knowledge influences the persuasiveness of generative social agents (GSAs) in physiotherapy...
arXiv - AI
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4 min
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Data Science
[2602.12917] Ultrasound-Guided Real-Time Spinal Motion Visualization for Spinal Instability Assessment
This article presents a novel ultrasound-guided method for real-time 3D visualization of spinal motion to assess spinal instability, aimi...
arXiv - AI
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4 min
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