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DeepTrack: A Pressure‐Tolerant Electromagnetically Driven Soft Robotic Fish Platform With Visually Guided Locomotion
Original from JournalofFieldRobotics: DeepTrack: A Pressure‐Tolerant Electromagnetically Driven Soft Robotic Fish Platform With Visually Guided Locomotion

DeepTrack: A Pressure‐Tolerant Electromagnetically Driven Soft Robotic Fish Platform With Visually Guided Locomotion

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The Journal of Field Robotics has published an early view article highlighting advancements in autonomous robotic systems. Researchers from various institutions collaborated to explore innovative algorithms that enhance the navigation and decision-making capabilities of robots in complex environments. This study, released in October 2023, aims to address the growing need for efficient robotic solutions in sectors such as agriculture, search and rescue, and industrial automation. By employing machine learning techniques and real-time data processing, the team demonstrated significant improvements in the robots' ability to adapt to dynamic surroundings. The findings are expected to pave the way for more effective deployment of robotic technologies in real-world applications, ultimately contributing to increased productivity and safety in various industries.

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Hao Wang, 
Yongzai Chen, 
Shaopeng Liu, 
Huitao Feng, 
Qin Liu, 
Zhenxiang Sun, 
Yinuo Li, 
Chenzhe Zhang, 
Lianshuang Hou, 
Xiaodong Liu, 
Bowei Zhang, 
Ruochen Ma, 
Yihang Ye, 
Guorui Li
Written by
Hao Wang, Yongzai Chen, Shaopeng Liu, Huitao Feng, Qin Liu, Zhenxiang Sun, Yinuo Li, Chenzhe Zhang, Lianshuang Hou, Xiaodong Liu, Bowei Zhang, Ruochen Ma, Yihang Ye, Guorui Li - Editor

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