Robotics
SMASH2000, an AI-powered optic that turns an AR-15 into an anti-drone platform
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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
![[2602.13332] MedScope: Incentivizing "Think with Videos" for Clinical Reasoning via Coarse-to-Fine Tool Calling](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Llms
[2602.13332] MedScope: Incentivizing "Think with Videos" for Clinical Reasoning via Coarse-to-Fine Tool Calling
The paper presents MedScope, a clinical video reasoning model that enhances decision-making in medical contexts by integrating tool use a...
arXiv - AI
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4 min
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Machine Learning
[2602.13329] HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving
The HiST-VLA model enhances autonomous driving by integrating vision, language, and action through improved spatio-temporal reasoning and...
arXiv - AI
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3 min
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Llms
[2602.13324] Synthesizing the Kill Chain: A Zero-Shot Framework for Target Verification and Tactical Reasoning on the Edge
This paper presents a zero-shot framework for target verification and tactical reasoning in autonomous edge robotics, addressing challeng...
arXiv - AI
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4 min
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Llms
[2602.14587] Decoupled Continuous-Time Reinforcement Learning via Hamiltonian Flow
This paper presents a novel decoupled continuous-time reinforcement learning algorithm using Hamiltonian flow, addressing challenges in s...
arXiv - AI
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4 min
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Ai Agents
[2602.13309] Adaptive Value Decomposition: Coordinating a Varying Number of Agents in Urban Systems
The paper presents Adaptive Value Decomposition (AVD), a framework for coordinating multi-agent systems in urban environments, addressing...
arXiv - AI
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4 min
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Machine Learning
[2602.13299] KidMesh: Computational Mesh Reconstruction for Pediatric Congenital Hydronephrosis Using Deep Neural Networks
The paper presents KidMesh, a deep learning approach for reconstructing computational meshes for pediatric congenital hydronephrosis from...
arXiv - AI
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4 min
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Robotics
[2602.13291] Agent Mars: Multi-Agent Simulation for Multi-Planetary Life Exploration and Settlement
Agent Mars presents a multi-agent simulation framework designed for efficient coordination in Mars base operations, addressing challenges...
arXiv - AI
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4 min
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Machine Learning
[2602.14351] WIMLE: Uncertainty-Aware World Models with IMLE for Sample-Efficient Continuous Control
The paper presents WIMLE, a model-based reinforcement learning method that enhances sample efficiency by addressing model errors and unce...
arXiv - AI
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4 min
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Machine Learning
[2602.13259] Learning Physiology-Informed Vocal Spectrotemporal Representations for Speech Emotion Recognition
This paper presents PhysioSER, a novel approach for speech emotion recognition that integrates physiological insights into vocal represen...
arXiv - AI
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4 min
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Machine Learning
[2602.14318] In Transformer We Trust? A Perspective on Transformer Architecture Failure Modes
The paper examines the trustworthiness of transformer architectures in high-stakes applications, analyzing their reliability, interpretab...
arXiv - Machine Learning
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4 min
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Ai Infrastructure
[2602.13207] A Safety-Constrained Reinforcement Learning Framework for Reliable Wireless Autonomy
This article presents a safety-constrained reinforcement learning framework aimed at enhancing the reliability of wireless autonomy, part...
arXiv - AI
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4 min
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Machine Learning
[2602.13200] Traffic Simulation in Ad Hoc Network of Flying UAVs with Generative AI Adaptation
This paper presents a model for traffic simulation in an Ad Hoc network of Unmanned Aerial Vehicles (UAVs) using generative AI to adapt c...
arXiv - AI
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3 min
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Machine Learning
[2602.13199] Simulation-Based Study of AI-Assisted Channel Adaptation in UAV-Enabled Cellular Networks
This study explores AI-assisted channel adaptation in UAV-enabled cellular networks, focusing on the impact of adaptive channel control o...
arXiv - AI
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3 min
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Llms
[2602.14697] Evolutionary System Prompt Learning can Facilitate Reinforcement Learning for LLMs
The paper proposes Evolutionary System Prompt Learning (E-SPL) to enhance reinforcement learning in large language models (LLMs) by evolv...
arXiv - Machine Learning
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4 min
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Robotics
[2602.14691] Removing Planner Bias in Goal Recognition Through Multi-Plan Dataset Generation
This paper presents a method to eliminate planner bias in goal recognition using multi-plan dataset generation, enhancing the evaluation ...
arXiv - AI
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3 min
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Machine Learning
[2602.14296] AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines
The paper presents AutoWebWorld, a framework that synthesizes verifiable web environments using Finite State Machines, enhancing the trai...
arXiv - AI
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4 min
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Machine Learning
[2602.13810] Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation
The paper introduces the Mean Velocity Policy (MVP) for reinforcement learning, which enhances one-step action generation by modeling the...
arXiv - AI
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3 min
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Nlp
[2602.14252] GRAIL: Goal Recognition Alignment through Imitation Learning
The paper introduces GRAIL, a method for recognizing agent goals through imitation learning, enhancing goal recognition accuracy in AI sy...
arXiv - Machine Learning
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3 min
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Machine Learning
[2602.13802] Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting
The paper presents Cast-R1, a novel framework for time series forecasting that reformulates the problem as a sequential decision-making t...
arXiv - Machine Learning
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4 min
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Robotics
[2602.14229] CORPGEN: Simulating Corporate Environments with Autonomous Digital Employees in Multi-Horizon Task Environments
The paper introduces CORPGEN, a framework for simulating corporate environments using autonomous digital employees, addressing long-horiz...
arXiv - Machine Learning
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4 min
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