7 accepted papers
Trajectory planning for autonomous driving in dynamic unstructured traffic remains a fundamental challenge. Existing methods are often reactive, i.e., they only respond to observed situations without explicitly anticipating future risks. Moreover, most reinforcement learning based approaches rely on…
Tennis is widely popular across various age groups. However, mastering fluid stroke mechanics remains a significant challenge, requiring substantial time and practice. The lack of scientifically grounded tools for skill acquisition and training tools further hampers the development of tennis profici
In the field of signal processing for robotics, the inverse kinematics of robot arms presents a significant challenge due to multiple solutions caused by redundant degrees of freedom (DOFs). Precision is also a crucial performance indicator for robot arms. Current methods typically rely on condition…
Modern robots must coexist with humans in dense urban environments. A key challenge is the ghost probe problem, where pedestrians or objects unexpectedly rush into traffic paths. This issue affects both autonomous vehicles and human drivers. Existing works propose vehicle-to-everything (V2X) strateg
Precision is a crucial performance indicator for robot arms. During interacting with human, high precision enables a robot arm to be used effectively and safely, while low precision may lead to safety issues. Traditional methods for improving robot arm precision rely on error compensation. However,
In indoor parking lots, the use of RTK/GNSS for vehicle localization is often impractical due to the significantly smaller space compared to outdoor roads, which demands higher precision in both mapping and localization. Although feature point based visual SLAM algorithms have achieved high localiza
Trajectory prediction is a fundamental technology for advanced autonomous driving systems and represents one of the most challenging problems in the field of cognitive intelligence. Accurately predicting the future trajectories of each traffic participant is a prerequisite for building high safety a