arXiv
Conformal Uncertainty Quantification Guarantees for Neural Operators
Neural operators provide fast surrogate models for approximating operators between function spaces, but their predict...
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arXiv
When Robots Mishear Us: Mapping the Safety Risks of Voice-Controlled Embodied AI
We investigate whether automatic speech recognition (ASR) errors in user input can lead to unsafe outputs from Embodi...
arXiv
Texture Image Classification Using DWT AlexNet Feature Fusion and Deep Neural Networks
Texture image classification plays a significant role in computer vision applications, including industrial inspectio...
arXiv
InstructMesh: Selective Refinement of Generative 3D Models for Fabrication
Recent advances in generative AI allow users to create 3D models from text or images. However, these models prioritiz...
arXiv
An Enclosed Mode Is a Gauge Choice: Topology Relative to Reach in Certified Code World Models
A code world model accepted by a sampling gate can be exactly right on everything the gate can see and arbitrarily wr...
arXiv
Video Generative Models as Geometry Learner
Recent generative approaches to geometry estimation adapt pretrained image diffusion models and treat the task as ima...
arXiv
Logos: An Agent Harness on a Cross-Process Bus
Modern agent systems assemble capabilities at runtime, and this dynamic composition has recently received a complete ...
arXiv
Blog: Survey of Optimizers
Neural-network optimization in 2025-2026 is no longer well described as a succession of new Adam variants. The design...
arXiv
Learning a Size-Weight Frontier for Synthetic-Augmented Inference
Synthetic data can improve statistical inference when real data are scarce, but naively treating synthetic samples as...
arXiv
Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning
Tendon-driven hands are anthropomorphic, and moving the actuators off the joints is what makes a hand of this capabil...
HuggingFace
PonderPounce: A Pretrained MLLM as an Episode Context Engine for Robot Control
Multimodal large language models (MLLMs) can integrate long visual histories, reason under partial observability, and...
HuggingFace
Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models
Scaling robot data is crucial for building generalist Vision-Language-Action (VLA) models, yet robot trajectories are...