Every paper checked — nothing hidden

All papers

Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.

All17,313 In brief24 More (on-topic)3,333 Not relevant13,754 Not assessed87 Older352 Could not confirm93 Blogs with no paper266 All blogs284

Paper	Topic	Relevance
Breaking the Average: Overcoming Convergent Defaults in Robotic Manipulation via Diagnostic Chain-of-Thought and Structured Guidance This paper introduces diagnostic reasoning and structured guidance prompts to correct mode-averaging errors in vision-language-action manipulation policies. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotic manipulation policies, not industrial defect detection or visual inspection.
TRACE: Efficient Transfer Learning for Neural Whole-Body Control Across Humanoid Embodiments This paper presents an adaptation framework combining kinematic priors and reinforcement learning to transfer whole-body controllers across humanoid embodiments. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Humanoid whole-body control transfer, not industrial vision or defect detection.
Contractor Filters This paper proposes a set-membership filtering architecture using contractor programming for continuous-time state estimation under bounded uncertainty and outliers. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on mathematical state estimation filtering, not industrial visual inspection.
LynxScenes: A Large-Scale Real-World Benchmark for Outdoor Wheel-Legged Robot Perception, Navigation, Imagination and Reconstruction This paper introduces a real-world multi-sensor benchmark and dataset for outdoor wheel-legged robot perception, navigation, and scene reconstruction. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Outdoor wheel-legged robot navigation dataset, not industrial defect detection or inspection.
ForeTac: Predictive Contact Guidance for Generative Robot Policies This paper proposes a predictive contact-guidance framework that forecasts tactile outcomes to steer generative robot manipulation actions before execution. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotic tactile manipulation, not visual inspection or industrial defect detection.
MARTS: A Modular Agricultural Robot for Targeted Spraying of Diseased Tomato Plants in Greenhouses This paper presents a modular robotic system that detects tomato plant diseases and executes targeted pesticide spraying in commercial greenhouses. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Agricultural robotic spraying, not manufacturing quality control or industrial defect detection.
SkipWorld: Latent Skip Planning with Distilled World Models for Efficient Visual Navigation This paper presents a latent skip planning framework that distills world models to speed up visual navigation rollout and planning. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robot visual navigation, not industrial inspection or defect detection.
Walk Like This: Stylized Locomotion for Physics-Based Characters through Example-Driven Diffusion This paper introduces a real-time framework using diffusion models to enable stylized legged locomotion for physics-based simulated humanoid characters. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on humanoid locomotion animation, not industrial visual inspection.
Force Sensor-Based Picking Pattern Analysis and Two-Jaw Gripper Design for Cherry Tomato Robotic Harvesting in Greenhouse This paper analyzes manual picking forces and presents a compliant two-jaw gripper design for robotic cherry tomato harvesting in greenhouses. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on agricultural robotic harvesting, not industrial manufacturing inspection.
RESTA: Time-Scaling Augmentation for Data-Efficient Robot Imitation Learning This paper introduces a trajectory reversal and temporal resampling data augmentation method to improve data efficiency in robot imitation learning. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robot imitation learning augmentation, not industrial inspection.
Beyond Planning: Differentiable Control-in-the-loop End-to-End Autonomous Driving This paper presents a differentiable vehicle dynamics framework to link perception directly to actuator-level control in end-to-end driving models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Topic explicitly excludes autonomous driving applications.
Assessing the Quality of Concrete Scenarios Generated from Scenario Classes for Automated Driving The paper develops quality functions based on distance metrics to assess the diversity of generated test scenarios for automated driving verification. Preprint	LLMs for code via arxiv · 15 Oct, 06:18	Not relevant Focuses on autonomous driving scenario generation, not coding models or software agents.
Assessing the Quality of Concrete Scenarios Generated from Scenario Classes for Automated Driving The paper develops quality functions based on distance metrics to assess the diversity of generated test scenarios for automated driving verification. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Topic explicitly excludes autonomous driving systems.
OneDemo: Unified Policy Learning and Data Generation from a Single Demonstration The paper introduces OneDemo, a reinforcement learning approach that edits a single expert demonstration to generate diverse valid trajectories for robot tasks. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robot demonstration learning, not industrial visual inspection.
Cross-Embodiment Affordance Transfer for Robotic Manipulation The paper introduces a method to convert human affordance labels into robot-specific affordance maps conditioned on physical embodiment constraints. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotic grasping affordance, not industrial visual defect detection.
I2O2I-Nav: A Benchmark with a Modular Agent for Long-Horizon Indoor-to-Outdoor-to-Indoor Navigation The paper presents a composite indoor-outdoor navigation benchmark and a modular agent framework to evaluate long-horizon multi-stage robotic delivery missions. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Evaluates mobile robot navigation, not industrial visual quality control.
CoSMO: Conformal Semantic Mapping for Open-World Safe Robot Navigation The paper introduces CoSMO, using conformal prediction with vision-language models to generate safety-calibrated obstacle bounds for open-world robot navigation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses safe robot navigation and mapping, not industrial inspection.
DR-VLA: Learning Human-Like Quadruped Navigation from Egocentric Web Videos via Domain-Invariant Scene Representations The paper presents DR-VLA, transferring outdoor navigation behaviors from egocentric human web videos to quadruped delivery robots via domain-invariant scene representations. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on quadruped outdoor navigation, not industrial visual inspection.
Benchmarking Interaction-Oriented Aerial Mobility across Heterogeneous Environments The paper introduces CrossFly, a simulation benchmark evaluating aerial robot navigation and subsequent physical interaction across combined indoor and outdoor environments. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on aerial mobile manipulation benchmarks, not industrial visual inspection.
Intent-guided Adaptive Stiffening for Visuomotor Policies under Unknown Resistance The paper proposes a residual stiffening layer that dynamically adjusts robotic impedance control by detecting resistance without explicit force sensing. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses robot manipulation under resistance, not industrial visual inspection.
Augmenting Real-time Visualization in Minimally Invasive Surgery with Particle Filtering and Depth-Aware Occlusion Handling The paper introduces a real-time surgical tracking system that integrates object detection, particle filtering, and monocular depth estimation to handle tool occlusions. Peer-reviewed	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Applies computer vision to minimally invasive surgery, not industrial manufacturing.
PACT: Posture-Aligned Co-Design Technique for Hand Configuration and Retargeting in Multi-Finger Imitation Learning The paper proposes an optimization method that jointly designs robot hand mechanical parameters and retargeting algorithms to match human grasping postures faithfully. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on multi-finger robot hand hardware and teleoperation, not industrial visual inspection.
RTISSLAM: In-air Imaging Sonar SLAM using a Robust Pose Graph and Occupancy Grid Mapping The paper introduces a sonar-only mapping system that combines beamforming place descriptors, occupancy grid mapping, and pose graph optimization for indoor navigation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on sonar SLAM for mobile robots, not industrial defect detection.
Behavioural self-monitoring for autonomous earth observation agents: The attribute reliability monitor (ARM) The paper presents an attribute reliability monitor that tracks output consistency over time to detect failures in vision-language models for Earth observation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Studies satellite earth observation reliability, not industrial inspection.
WAVE-0: Bridging VLA Policies and WAMs with Lightweight Latent Future Prediction The paper introduces WAVE-0, connecting vision-language-action policies with a lightweight latent world model to guide action generation through predicted future outcomes. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotic manipulation policies, not industrial defect detection.
ForkCast: Predictive Recovery for Vision-Language-Action Policies via Counterfactual Futures The paper introduces ForkCast, which evaluates counterfactual future outcomes using a world model to intervene and recover frozen vision-language-action manipulation policies. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses robot manipulation failure recovery, not industrial visual inspection.
RoboFQE: Rollout-Free Evaluation of Visual Robot Policies from Offline Trajectories The paper introduces RoboFQE, an off-policy evaluation method to assess visual manipulation policies directly from offline trajectories without generating new rollouts. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Evaluates visual robot manipulation policies, not industrial defect detection.
GreenWAM: A World Foundation Model for Robotics The paper introduces GreenWAM, a robotics foundation world model trained across twenty robot bodies using a shared anatomical action space. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on general robotic manipulation, not industrial defect detection or inspection.
EqC: Equilibrium Energy Control for Introspective Lifelong Robot Learning The paper presents Equilibrium Energy Control, using an energy landscape to detect policy uncertainty and trigger expert takeovers for lifelong robot learning. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robot manipulation control rather than industrial visual quality control.
EgoMatrix: Physically Faithful Dexterous Robot Demonstrations from Egocentric Human Videos The paper introduces EgoMatrix, a pipeline that converts monocular egocentric human videos into physically executable bimanual dexterous robot demonstration trajectories. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Covers dexterous robot data synthesis, not industrial defect detection.
Contact Trajectory Prompting: In-Context Transfer of Contact-Rich Behaviors from a Single Demonstration The paper presents a method to transfer contact-rich manipulation behaviors to robots from a single demonstration using ordered contact trajectory prompts. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotics manipulation transfer rather than industrial visual inspection.
Collaborative Planning for UAV-UGV Teams under Operational Constraints via Masked Error-bounded Neuro-Symbolic Diffusion The paper proposes a masked diffusion framework to plan coordinated paths and recharge schedules for collaborative aerial and ground robot teams under constraints. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Covers UAV-UGV collaborative path planning rather than manufacturing vision.
ForceWAM: Decoupling Future and Response Learning from Demo and Play Data for Contact-Rich Manipulation The paper decouples contact-rich manipulation learning into a demonstration-trained future prediction model and an inverse dynamics model trained on play data. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Studies general robotic contact-rich manipulation rather than industrial visual inspection.
Interaction Latents as Actions for Contact-Rich Manipulation The paper introduces interaction latents that combine motion, contact, and force trajectories into unified action representations for contact-rich robot manipulation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robot contact manipulation, not industrial defect detection.
AutoAgent0: An Agentic Runtime for Safe Closed-Loop Driving The paper introduces an agentic runtime that uses separate perception tools, rule-based verification, and feedback-driven recovery to improve closed-loop driving safety. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on autonomous driving, which is explicitly excluded from topic 4.
EmbodiedEvo: Self-improving Coding Agents for Physical Intelligence The paper presents EmbodiedEvo, a framework where coding agents self-improve physical manipulation policies by evolving reusable skills and lessons through execution feedback. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotic manipulation and coding agents, not industrial inspection.
Lava: Foundations for Liquid Haskell via Translation to Rocq The paper translates Liquid Haskell into Rocq to provide formal semantics and verify refinement types using an interactive theorem prover. Preprint	LLMs for code via arxiv · 15 Oct, 06:18	Not relevant Concerns formal semantics translation to Rocq, unrelated to LLMs.
Mechanising Denotational Semantics in Agda Formalizes programming language denotational semantics directly in the Agda proof assistant without heavy reformulation. Preprint	LLMs for code via arxiv · 15 Oct, 06:18	Not relevant Focuses on formal language semantics in Agda without LLMs.
Contravariant Universe Subtyping, Formalized, Mechanized Mechanizes contravariant universe subtyping in Martin-Löf type theory using the Rocq proof assistant. Preprint	LLMs for code via arxiv · 15 Oct, 06:18	Not relevant Focuses on formal type theory and mechanization without LLMs.
Scenario Proofs for Verification of Distributed Protocols Introduces a scenario-based proof methodology to simplify the formal verification of distributed protocols. Preprint	LLMs for code via arxiv · 15 Oct, 06:18	Not relevant Presents formal verification methods without using or evaluating LLMs.
Compositional Information Geometry of Probabilistic Programs Studies the compositional information geometry and Riemannian metrics of probabilistic programs. Preprint	LLMs for code via arxiv · 15 Oct, 06:18	Not relevant Presents mathematical theory of probabilistic programs without LLMs.
OpenMQPI: An MLIR-based Pipeline to Offload Quantum Circuits via OpenMP Proposes an OpenMP and compiler pipeline extension to offload quantum circuits in high-performance computing. Preprint	LLMs for code via arxiv · 15 Oct, 06:18	Not relevant Covers quantum compiler pipelines without involving language models.
Soliduzz: Finding Miscompilations in Smart-Contract Compilers with Assertion-Driven Equivalence Oracles Finds miscompilations in smart-contract compilers using executable assertions and standard fuzzers. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Deals with traditional compiler miscompilation rather than AI deployment safety.
Soliduzz: Finding Miscompilations in Smart-Contract Compilers with Assertion-Driven Equivalence Oracles Finds miscompilations in smart-contract compilers using executable assertions and standard fuzzers. Preprint	LLMs for code via arxiv · 15 Oct, 06:18	Not relevant Focuses on compiler fuzzing rather than LLM code assistants.
Beyond Independent Values: Optimal Auctions with Correlated Valuations for LLM-Native Advertising Designs an auction mechanism that models correlated valuations among advertisers competing in conversational assistant answers. Preprint	AI agents via arxiv · 15 Oct, 06:18	Not relevant Studies advertising auction mechanics rather than language model agent systems.
sGLP: Specifying Stochastic Agents that Simulate People Presents a stochastic logic programming method to simulate human user behavior for testing decentralized grassroots apps. Preprint	AI agents via arxiv · 15 Oct, 06:18	Not relevant Focuses on stochastic concurrent logic programs simulating mobile app users.
sGLP: Specifying Stochastic Agents that Simulate People Presents a stochastic logic programming method to simulate human user behavior for testing decentralized grassroots apps. Preprint	LLMs for code via arxiv · 15 Oct, 06:18	Not relevant Presents a stochastic simulation language, not LLMs writing code.
Persistent LLM Orchestration of Heterogeneous Robot Teams via Partial Delegation to Multi-Agent Protocols Orchestrates persistent multi-robot missions with language models by offloading ongoing tasks to classical protocols. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robot team orchestration, not industrial visual inspection.
Do Rollups Self-Organize? Multi-Agent Reinforcement Learning in the EIP-4844 Blob Fee Market Simulates Ethereum blob fee markets with multi-agent reinforcement learning to analyze how independent rollups interact. Preprint	AI agents via arxiv · 15 Oct, 06:18	Not relevant Applies reinforcement learning to blockchain fee markets, not LLM agents.
Representation Theorems for Actual Powers over Two-Agent General Concurrent Game Frames Develops representation theorems for actual power structures in two-agent concurrent games using neighborhood frames. Peer-reviewed	AI agents via arxiv · 15 Oct, 06:18	Not relevant Studies game theory logic representations, not applied LLM agents.
Collective Benefits and Efficiency in Coupled Echo State Networks Uses coupled echo state networks to study how interaction and feedback affect joint performance and efficiency. Preprint	AI agents via arxiv · 15 Oct, 06:18	Not relevant Studies coupled reservoir networks, not language model multi-agent systems.
Mobility-Budget-Constrained Submodular Maximization for Distributed Semantic Multi-Robot Exploration Presents a distributed semantic exploration method for robot teams to balance map information gain with movement limits. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses autonomous exploration robotics rather than industrial visual inspection.
Mobility-Budget-Constrained Submodular Maximization for Distributed Semantic Multi-Robot Exploration Presents a distributed semantic exploration method for robot teams to balance map information gain with movement limits. Preprint	AI agents via arxiv · 15 Oct, 06:18	Not relevant Focuses on multi-robot mapping and path planning, not LLM agents.
Strategic Multi-Agent Resource Allocation via Statistical Contracts The paper investigates statistical contracts and hypothesis testing to allocate resources strategically among competing agents. Preprint	AI agents via arxiv · 15 Oct, 06:18	Not relevant Covers theoretical statistical contracts, not language model planning or tool use.
CALM: Decentralized Control of Cooperative Aerial Manipulation with Multi-Agent Reinforcement Learning The paper presents a decentralized multi-agent reinforcement learning controller for cooperative aerial manipulation using multiple drones. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Concerns cooperative aerial manipulation, not industrial defect detection.
CALM: Decentralized Control of Cooperative Aerial Manipulation with Multi-Agent Reinforcement Learning The paper presents a decentralized multi-agent reinforcement learning controller for cooperative aerial manipulation using multiple drones. Preprint	AI agents via arxiv · 15 Oct, 06:18	Not relevant Focuses on physical robot control, not language model agent workflows.
Pristine Models The paper introduces an architecture that separates safe and unsafe visual knowledge during pretraining so unsafe branches can be disabled. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Proposes an architecture for concept unlearning, not evaluation benchmarks.
Pristine Models The paper introduces an architecture that separates safe and unsafe visual knowledge during pretraining so unsafe branches can be disabled. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Covers generative image safety, not manufacturing inspection or defects.
Pristine Models The paper introduces an architecture that separates safe and unsafe visual knowledge during pretraining so unsafe branches can be disabled. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on safety compartmentalization rather than model compression.
Pristine Models The paper introduces an architecture that separates safe and unsafe visual knowledge during pretraining so unsafe branches can be disabled. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on safe concept separation in image generation pretraining.

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