Jiajie Guo — accepted AI-conference papers

2026

3D Force Sensor-Based Multimodal Tactile Sensing for Underwater Robotic Adaptive Grasping

Yuchao Liu, Yibin Chen, Zijie Liu, Haihong Qin, Long Ren, Weipeng Li +2

RA-L 2026

Underwater tactile sensing is critical for marine robots to reliably manipulate objects. However, harsh underwater environments bring in serious disturbances to sensor techniques. Prior studies have typically been restricted to on-land scenarios, 1D force measurements, or qualitative object property

Cited by 0 Source ↗Scholar ↗

2024

Foam-Embedded Soft Robotic Joint With Inverse Kinematic Modeling by Iterative Self-Improving Learning

Anlun Huang, Yongxi Cao, Jiajie Guo, Zhonggui Fang, Yinyin Su, Sicong Liu +4

RA-L 2024

Soft robotic arms have gained significant attention owing to their flexibility and adaptability. Nonetheless, the instability due to their high-elasticity structure further leads to the difficulty of precise kinematic modeling and control. This letter introduces a novel solution employing foam-embed

Cited by 5 Source ↗Scholar ↗