Publications (9)
FR-SLAM: A SLAM Improvement Method Based on Floor Plan Registration
Jiantao Feng, Xinde Li, HyunCheol Park +2
Simultaneous Localization and Mapping (SLAM) technology enables the construction of environmental maps and localization, serving as a key technique for indoor autonomous navigation…
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation
Chuanfei Hu, Tianyi Xia, Shenghong Ju +1
Learning to segmentation without large-scale samples is an inherent capability of human. Recently, Segment Anything Model (SAM) performs the significant zero-shot image segmentatio…
A self-supervised learning-based 6-DOF grasp planning method for manipulator
Gang Peng, Zhenyu Ren, Hao Wang +1
To realize a robust robotic grasping system for unknown objects in an unstructured environment, large amounts of grasp data and 3D model data for the object are required, the sizes…
Quantum Conflict Measurement in Decision Making for Out-of-Distribution Detection
Yilin Dong, Tianyun Zhu, Xinde Li +5
Quantum Dempster-Shafer Theory (QDST) uses quantum interference effects to derive a quantum mass function (QMF) as a fuzzy metric type from information obtained from various data s…
What Foundation Models can Bring for Robot Learning in Manipulation : A Survey
Dingzhe Li, Yixiang Jin, Yuhao Sun +11
The realization of universal robots is an ultimate goal of researchers. However, a key hurdle in achieving this goal lies in the robots' ability to manipulate objects in their unst…
Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based Uncertainty
Chuanfei Hu, Tianyi Xia, Ying Cui +5
Multi-phase liver contrast-enhanced computed tomography (CECT) images convey the complementary multi-phase information for liver tumor segmentation (LiTS), which are crucial to ass…
Calibration of the internal and external parameters of wheeled robot mobile chasses and inertial measurement units based on nonlinear optimization
Gang Peng, Zezao Lu, Zejie Tan +2
Mobile robot positioning, mapping, and navigation systems generally employ an inertial measurement unit (IMU) to obtain the acceleration and angular velocity of the robot. However,…
TNTC: two-stream network with transformer-based complementarity for gait-based emotion recognition
Chuanfei Hu, Weijie Sheng, Bo Dong +1
Recognizing the human emotion automatically from visual characteristics plays a vital role in many intelligent applications. Recently, gait-based emotion recognition, especially ga…
Enrichment of Qualitative Beliefs for Reasoning under Uncertainty
Xinde Li, Xinhan Huang, Florentin Smarandache +1
This paper deals with enriched qualitative belief functions for reasoning under uncertainty and for combining information expressed in natural language through linguistic labels. I…