Papers Physical Intuition
“Physical Intuition” 태그가 달린 논문 51편 · 필터 해제
GeoTLM: Geometry-aware Tactile-Language Models for Contact Motion Orientation Reasoning of Dynamic Objects
Modern tactile-language models (TLMs) have shown potential for robot learning tasks, such as material and texture recognition. However, for contact-rich scenarios, these TLMs struggle to understand the physical propertie…
Physical IntuitionSparse probes and murky physics: a case study of interpretability challenges in a foundation model for continuum dynamics
Generative AI emulators are increasingly used in scientific domains where we already have strong theory, benchmarks, and physical intuition. This raises a central evaluation and interpretability question: when a foundati…
Physical IntuitionPRISM: PRior-guided Imagination Sampling in world Models
A learned world model provides a powerful physical intuition for evaluating future states. But its effectiveness in continuous control also depends critically on how candidate actions are generated for model-based planni…
Continuous ControlPhysical IntuitionA Machine-to-Machine Knowledge-Guided LLM Agent for Generalizable Radiotherapy Treatment Planning
In this work, we propose a prototype machine-to-machine (M2M) knowledge-guided Large Language Model (LLM) framework for automated radiotherapy treatment planning. In the proposed paradigm, Treatment Planning Parameter (T…
Reinforcement LearningPhysical IntuitionMDGYM: Benchmarking AI Agents on Molecular Simulations
The promise of AI-driven scientific discovery hinges on whether AI agents can autonomously design and execute the computational workflows that underpin modern science. Molecular dynamics (MD) simulation presents a natura…
Physical IntuitionCode GenerationFrom Equations to Algorithms and Data: Transforming Microwave Engineering and Education with Machine Learning
Conventional microwave engineering education relies heavily on analytical methods, canonical circuit topologies, and intuition-driven design, which have proven effective at microwave frequencies. However, as systems incr…
Physical IntuitionBeyond Monologue: Interactive Talking-Listening Avatar Generation with Conversational Audio Context-Aware Kernels
Audio-driven human video generation has achieved remarkable success in monologue scenarios, largely driven by advancements in powerful video generation foundation models. Moving beyond monologues, authentic human communi…
Physical IntuitionVideo GenerationPhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment
Video Diffusion Models (VDMs) offer a promising approach for simulating dynamic scenes and environments, with broad applications in robotics and media generation. However, existing models often generate temporally incohe…
Synthetic Data GenerationPhysical IntuitionVideo GenerationICPRL: Acquiring Physical Intuition from Interactive Control
VLMs excel at static perception but falter in interactive reasoning in dynamic physical environments, which demands planning and adaptation to dynamic outcomes. Existing physical reasoning methods often depend on abstrac…
Reinforcement LearningPhysical IntuitionLearning Physics from Pretrained Video Models: A Multimodal Continuous and Sequential World Interaction Models for Robotic Manipulation
The scarcity of large-scale robotic data has motivated the repurposing of foundation models from other modalities for policy learning. In this work, we introduce PhysGen (Learning Physics from Pretrained Video Generation…
Physical IntuitionVideo GenerationTaF-VLA: Tactile-Force Alignment in Vision-Language-Action Models for Force-aware Manipulation
Vision-Language-Action (VLA) models have recently emerged as powerful generalists for robotic manipulation. However, due to their predominant reliance on visual modalities, they fundamentally lack the physical intuition …
Physical IntuitionLearning Hamiltonian Dynamics at Scale: A Differential-Geometric Approach
Embedding physical intuition into network architectures allows the learning of dynamics that enforce fundamental properties, such as energy conservation laws, thereby leading to physically-plausible predictions. Yet, sca…
Physical IntuitionWoW: Towards a World omniscient World model Through Embodied Interaction
Humans develop an understanding of intuitive physics through active interaction with the world. This approach is in stark contrast to current video models, such as Sora, which rely on passive observation and therefore st…
Physical IntuitionTowards real-time surrogate-free Bayesian inversion for neutron reflectometry
Neutron reflectometry (NR) is a key enabling technology for many areas of scientific development. Although the forward reflectivity model is well-known, inferring the physical properties of a sample from NR data requires…
Physical IntuitionSpatial-Frequency Aware for Object Detection in RAW Image
Direct RAW-based object detection offers great promise by utilizing RAW data (unprocessed sensor data), but faces inherent challenges due to its wide dynamic range and linear response, which tends to suppress crucial obj…
Physical IntuitionObject DetectionGuided Reinforcement Learning for Omnidirectional 3D Jumping in Quadruped Robots
Jumping poses a significant challenge for quadruped robots, despite being crucial for many operational scenarios. While optimisation methods exist for controlling such motions, they are often time-consuming and demand ex…
Reinforcement LearningPhysical IntuitionCan Theoretical Physics Research Benefit from Language Agents?
Large Language Models (LLMs) are rapidly advancing across diverse domains, yet their application in theoretical physics research is not yet mature. This position paper argues that LLM agents can potentially help accelera…
Code GenerationMathematical ReasoningPhysical IntuitionPosition+1Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
In this paper, we explore a novel approach to 3D anomaly detection (AD) that goes beyond merely identifying anomalies based on structural characteristics. Our primary perspective is that most anomalies arise from unpredi…
3D Anomaly Detection3D Anomaly Detection and SegmentationAnomaly DetectionPhysical IntuitionLarge Language Models and Mathematical Reasoning Failures
This paper investigates the mathematical reasoning capabilities of large language models (LLMs) using 50 newly constructed high-school-level word problems. Unlike prior studies that focus solely on answer correctness, we…
Mathematical ReasoningPhysical IntuitionSpatial ReasoningWorld KnowledgePhysics-Inspired Distributed Radio Map Estimation
To gain panoramic awareness of spectrum coverage in complex wireless environments, data-driven learning approaches have recently been introduced for radio map estimation (RME). While existing deep learning based methods …
Federated LearningPhysical Intuition