Physics-Driven Learning Framework for Tomographic Tactile Sensing
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Xuanxuan, Zhang, Xiuyang, Chen, Haofeng, Ma, Gang, Wang, Xiaojie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Physics-Embedded Dual-Learning Imaging Framework for Electrical Impedance Tomography
by: Yang, Xuanxuan, et al.
Published: (2024)
by: Yang, Xuanxuan, et al.
Published: (2024)
A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT)
by: Yang, Xuanxuan, et al.
Published: (2024)
by: Yang, Xuanxuan, et al.
Published: (2024)
3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing
by: Huang, Binghao, et al.
Published: (2024)
by: Huang, Binghao, et al.
Published: (2024)
FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning
by: Wang, Ziquan, et al.
Published: (2026)
by: Wang, Ziquan, et al.
Published: (2026)
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks
by: Yang, Zixuan, et al.
Published: (2024)
by: Yang, Zixuan, et al.
Published: (2024)
Tactile MNIST: Benchmarking Active Tactile Perception
by: Schneider, Tim, et al.
Published: (2025)
by: Schneider, Tim, et al.
Published: (2025)
SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Framework
by: Peng, Yubo, et al.
Published: (2025)
by: Peng, Yubo, et al.
Published: (2025)
TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework
by: Zhao, Yang, et al.
Published: (2023)
by: Zhao, Yang, et al.
Published: (2023)
To See Far, Look Close: Evolutionary Forecasting for Long-term Time Series
by: Ma, Jiaming, et al.
Published: (2026)
by: Ma, Jiaming, et al.
Published: (2026)
Value-State Gated Attention for Mitigating Extreme-Token Phenomena in Transformers
by: Bu, Rui, et al.
Published: (2025)
by: Bu, Rui, et al.
Published: (2025)
A Scalable Curiosity-Driven Game-Theoretic Framework for Long-Tail Multi-Label Learning in Data Mining
by: Yang, Jing, et al.
Published: (2026)
by: Yang, Jing, et al.
Published: (2026)
TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
by: Yang, Shenzhi, et al.
Published: (2025)
by: Yang, Shenzhi, et al.
Published: (2025)
Learning to Optimise Climate Sensor Placement using a Transformer
by: Wang, Chen, et al.
Published: (2023)
by: Wang, Chen, et al.
Published: (2023)
Multi-View Wireless Sensing via Conditional Generative Learning: Framework and Model Design
by: Xing, Ziqing, et al.
Published: (2025)
by: Xing, Ziqing, et al.
Published: (2025)
EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning
by: Chen, Yuning, et al.
Published: (2025)
by: Chen, Yuning, et al.
Published: (2025)
MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion
by: Huang, Haofeng, et al.
Published: (2025)
by: Huang, Haofeng, et al.
Published: (2025)
PhySense: Sensor Placement Optimization for Accurate Physics Sensing
by: Ma, Yuezhou, et al.
Published: (2025)
by: Ma, Yuezhou, et al.
Published: (2025)
FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems
by: Huang, Binghao, et al.
Published: (2026)
by: Huang, Binghao, et al.
Published: (2026)
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
by: Xue, Han, et al.
Published: (2025)
by: Xue, Han, et al.
Published: (2025)
Can LLMs Learn to Reason Robustly under Noisy Supervision?
by: Yang, Shenzhi, et al.
Published: (2026)
by: Yang, Shenzhi, et al.
Published: (2026)
Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors
by: Feng, Lang, et al.
Published: (2025)
by: Feng, Lang, et al.
Published: (2025)
DGSense: A Domain Generalization Framework for Wireless Sensing
by: Zhou, Rui, et al.
Published: (2025)
by: Zhou, Rui, et al.
Published: (2025)
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
by: Fan, Yijia, et al.
Published: (2025)
by: Fan, Yijia, et al.
Published: (2025)
Deep Reinforcement Learning for Traveling Purchaser Problems
by: Yuan, Haofeng, et al.
Published: (2024)
by: Yuan, Haofeng, et al.
Published: (2024)
Explaining Fine Tuned LLMs via Counterfactuals A Knowledge Graph Driven Framework
by: Wang, Yucheng, et al.
Published: (2025)
by: Wang, Yucheng, et al.
Published: (2025)
Parameter Importance-Driven Continual Learning for Foundation Models
by: Wang, Lingxiang, et al.
Published: (2025)
by: Wang, Lingxiang, et al.
Published: (2025)
Controllable Data Generation by Deep Learning: A Review
by: Wang, Shiyu, et al.
Published: (2022)
by: Wang, Shiyu, et al.
Published: (2022)
ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
by: Wang, Yusong, et al.
Published: (2026)
by: Wang, Yusong, et al.
Published: (2026)
SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors
by: Amri, Wadhah Zai El, et al.
Published: (2026)
by: Amri, Wadhah Zai El, et al.
Published: (2026)
Tactile-based Object Retrieval From Granular Media
by: Xu, Jingxi, et al.
Published: (2024)
by: Xu, Jingxi, et al.
Published: (2024)
Conflict-Averse Gradient Descent for Multi-task Learning
by: Liu, Bo, et al.
Published: (2021)
by: Liu, Bo, et al.
Published: (2021)
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning
by: Zhang, Xiaojin, et al.
Published: (2023)
by: Zhang, Xiaojin, et al.
Published: (2023)
Theory Foundation of Physics-Enhanced Residual Learning
by: Liang, Shixiao, et al.
Published: (2025)
by: Liang, Shixiao, et al.
Published: (2025)
FedModule: A Modular Federated Learning Framework
by: Chen, Chuyi, et al.
Published: (2024)
by: Chen, Chuyi, et al.
Published: (2024)
EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework
by: Wang, Chen, et al.
Published: (2025)
by: Wang, Chen, et al.
Published: (2025)
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection
by: Cai, Xiangrui, et al.
Published: (2024)
by: Cai, Xiangrui, et al.
Published: (2024)
Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research
by: Lan, Tian, et al.
Published: (2024)
by: Lan, Tian, et al.
Published: (2024)
From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization
by: Tao, Xiaoyu, et al.
Published: (2025)
by: Tao, Xiaoyu, et al.
Published: (2025)
Data-Augmented Deep Learning for Downhole Depth Sensing and Validation
by: Xiao, Si-Yu, et al.
Published: (2025)
by: Xiao, Si-Yu, et al.
Published: (2025)
RMSL: Weakly-Supervised Insider Threat Detection with Robust Multi-sphere Learning
by: Wang, Yang, et al.
Published: (2025)
by: Wang, Yang, et al.
Published: (2025)
Similar Items
-
A Physics-Embedded Dual-Learning Imaging Framework for Electrical Impedance Tomography
by: Yang, Xuanxuan, et al.
Published: (2024) -
A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT)
by: Yang, Xuanxuan, et al.
Published: (2024) -
3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing
by: Huang, Binghao, et al.
Published: (2024) -
FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning
by: Wang, Ziquan, et al.
Published: (2026) -
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks
by: Yang, Zixuan, et al.
Published: (2024)