Supervised Autoencoder Joint Learning on Heterogeneous Tactile Sensory Data: Improving Material Classification Performance
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9340668/9340635/09341111.pdf?arnumber=9341111
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Unknown Object Retrieval in Confined Space through Reinforcement Learning with Tactile Exploration;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. Active learning strategies for robotic tactile texture recognition tasks;Frontiers in Robotics and AI;2024-02-06
3. Predicting Perceptual Haptic Attributes of Textured Surface from Tactile Data Based on Deep CNN-LSTM Network;29th ACM Symposium on Virtual Reality Software and Technology;2023-10-09
4. Active Haptic Exploration based on Dual-Stage Perception for Object Recognition;2023 IEEE World Haptics Conference (WHC);2023-07-10
5. Assessment of Recurrent Spiking Neural Networks on Neuromorphic Accelerators for Naturalistic Texture Classification;2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME);2023-06-18
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