TacTID: High-Performance Visuo-Tactile Sensor-Based Terrain Identification for Legged Robots-Reference-Cited by-同舟云学术

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TacTID: High-Performance Visuo-Tactile Sensor-Based Terrain Identification for Legged Robots

Published:2024-08-15 Issue:16 Volume:24 Page:26487-26495
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Song Ziwu¹^ORCID,Li Chenchang¹,Quan Zhentan¹^ORCID,Mu Shilong¹,Li Xiaosa¹^ORCID,Zhao Ziyi¹,Jin Wanxin²^ORCID,Wu Chenye³^ORCID,Ding Wenbo¹^ORCID,Zhang Xiao-Ping¹^ORCID

Affiliation:

1. Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

2. School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA

3. School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, China

Funder

Shenzhen Science and Technology Program

Guangdong Innovative and Entrepreneurial Research Team Program

Shenzhen Institute of Artificial Intelligence and Robotics for Society and Meituan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10637303/10576071.pdf?arnumber=10576071

Reference33 articles.

1. Learning robust perceptive locomotion for quadrupedal robots in the wild

2. Recent Progress of Biomimetic Tactile Sensing Technology Based on Magnetic Sensors

3. Vision-Assisted Localization and Terrain Reconstruction with Quadruped Robots

4. Legged robot state estimation using invariant Kalman filtering and learned contact events;Lin

5. A Flexible Multimodal Sole Sensor for Legged Robot Sensing Complex Ground Information during Locomotion

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