81 citations · 129 across the 13 of their papers we have counts for
8 papers · 1 filter
Learning Ultrasound Scanning Skills from Human Demonstrations
Xutian Deng, Ziwei Lei, Yi Wang +1
Recently, the robotic ultrasound system has become an emerging topic owing to the widespread use of medical ultrasound. However, it is still a challenging task to model and to tran…
Learning Robotic Ultrasound Scanning Skills via Human Demonstrations and Guided Explorations
Xutian Deng, Yiting Chen, Fei Chen +1
Medical ultrasound has become a routine examination approach nowadays and is widely adopted for different medical applications, so it is desired to have a robotic ultrasound system…
Learning Friction Model for Magnet-actuated Tethered Capsule Robot
Yi Wang, Yuyang Tu, Yuchen He +4
The potential diagnostic applications of magnet-actuated capsules have been greatly increased in recent years. For most of these potential applications, accurate position control o…
Learning Based Adaptive Force Control of Robotic Manipulation Based on Real-Time Object Stiffness Detection
Zhaoxing Deng, Xutian Deng, Miao Li
Force control is essential for medical robots when touching and contacting the patient's body. To increase the stability and efficiency in force control, an Adaption Module could b…
Learning Friction Model for Tethered Capsule Robot
Yi Wang, Yuchen He, Xutian Deng +3
With the potential applications of capsule robots in medical endoscopy, accurate dynamic control of the capsule robot is becoming more and more important. In the scale of a capsule…
Learning Dynamical System for Grasping Motion
Xiao Gao, Miao Li, Xiaohui Xiao
Dynamical System has been widely used for encoding trajectories from human demonstration, which has the inherent adaptability to dynamically changing environments and robustness to…
Data Generation for Learning to Grasp in a Bin-picking Scenario
Yiting Chen, Miao Li
The rise of deep learning has greatly transformed the pipeline of robotic grasping from model-based approach to data-driven stream. Along this line, a large scale of grasping data…
Unknown Object Segmentation through Domain Adaptation
Yiting Chen, Chenguang Yang, Miao Li
The ability to segment unknown objects in cluttered scenes has a profound impact on robot grasping. The rise of deep learning has greatly transformed the pipeline of robotic graspi…