Recognizing human locomotion intent and activities is important for
cont...
Recent advances in unsupervised domain adaptation have shown that mitiga...
This paper presents the application of the concepts and approaches of li...
This paper investigates the multi-agent collision-free control problem f...
In the recent literature, significant and substantial efforts have been
...
Distributed optimization is often widely attempted and innovated as an
a...
Reinforcement learning (RL) is a popular data-driven method that has
dem...
The environment that the robot operating in is becoming more and more
co...
In this study, we focus on the unsupervised domain adaptation problem wh...
In this study, we focus on the unsupervised domain adaptation problem wh...
Controlling a biped robot to walk stably is a challenging task consideri...
Unmanned Aerial Vehicles (UAVs) have been implemented for environmental
...
Powered prostheses are effective for helping amputees walk on level grou...
Learning on point cloud is eagerly in demand because the point cloud is ...
This survey paper concerns Sensor Fusion for Predictive Control of
Human...
Robots are increasingly operating in indoor environments designed for an...
Camera relocalization plays a vital role in many robotics and computer v...
Camera relocalization plays a vital role in many robotics and computer v...