Deep Tactile Experience: Estimating Tactile Sensor Output from Depth Sensor Data-Reference-Cited by-同舟云学术

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Deep Tactile Experience: Estimating Tactile Sensor Output from Depth Sensor Data

Published:2020-10-24 Issue: Volume: Page:
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Container-title:2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Patel Karankumar,Iba Soshi,Jamali Nawid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9340668/9340635/09341596.pdf?arnumber=9341596

Cited by 5 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. Augmenting Tactile Simulators with Real-like and Zero-Shot Capabilities;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Skill generalization of tubular object manipulation with tactile sensing and Sim2Real learning;Robotics and Autonomous Systems;2023-02

3. Unsupervised Adversarial Domain Adaptation for Sim-to-Real Transfer of Tactile Images;IEEE Transactions on Instrumentation and Measurement;2023

4. Visual Pressure Estimation and Control for Soft Robotic Grippers;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23

5. Development of Spring-Loaded Gripper with Auto Grasping Completion for Soft and Irregular-Shaped Objects;2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM);2022-07-11

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