14 citations · 26 across the 7 of their papers we have counts for
8 papers
Recon2Servo: Robotic Ultrasound Visual Servoing via Learned Image-to-Motion Inference
Yameng Zhang, Pei Liu, Dianye Huang +5
Ultrasound visual servoing is essential for autonomous robotic ultrasound, yet 6-DoF probe control from 2D B-mode images remains challenging due to limited and ambiguous out-of-pla…
Seeing Globally, Refining Locally: Global Visual Guidance and Local Ultrasound Cues for Robust Freehand 3-D Ultrasound Reconstruction
Yameng Zhang, Zhongyu Chen, Dianye Huang +3
Freehand 3-D ultrasound (US) imaging has attracted increasing attention owing to its intuitive volumetric visualization, ease of use, and low cost. However, accurate 3-D reconstruc…
Needle Segmentation Using GAN: Restoring Thin Instrument Visibility in Robotic Ultrasound
Zhongliang Jiang, Xuesong Li, Xiangyu Chu +5
Ultrasound-guided percutaneous needle insertion is a standard procedure employed in both biopsy and ablation in clinical practices. However, due to the complex interaction between…
VibNet: Vibration-Boosted Needle Detection in Ultrasound Images
Dianye Huang, Chenyang Li, Angelos Karlas +4
Precise percutaneous needle detection is crucial for ultrasound (US)-guided interventions. However, inherent limitations such as speckles, needle-like artifacts, and low resolution…
Interactive Navigation in Environments with Traversable Obstacles Using Large Language and Vision-Language Models
Zhen Zhang, Anran Lin, Chun Wai Wong +3
This paper proposes an interactive navigation framework by using large language and vision-language models, allowing robots to navigate in environments with traversable obstacles.…
Model-Free Large-Scale Cloth Spreading With Mobile Manipulation: Initial Feasibility Study
Xiangyu Chu+, Shengzhi Wang+, Minjian Feng +4
Cloth manipulation is common in domestic and service tasks, and most studies use fixed-base manipulators to manipulate objects whose sizes are relatively small with respect to the…
End-to-End Learning of Deep Visuomotor Policy for Needle Picking
Hongbin Lin, Bin Li, Xiangyu Chu +3
Needle picking is a challenging manipulation task in robot-assisted surgery due to the characteristics of small slender shapes of needles, needles' variations in shapes and sizes,…
Towards Safe Landing of Falling Quadruped Robots Using a 3-DoF Morphable Inertial Tail
Yunxi Tang, Jiajun An, Xiangyu Chu +3
Falling cat problem is well-known where cats show their super aerial reorientation capability and can land safely. For their robotic counterparts, a similar falling quadruped robot…