Reinforcement Learning (RL) has the potential to surpass human performan...
This paper introduces a novel Learning from Demonstration framework to l...
Traditional approaches to extrinsic calibration use fiducial markers and...
Federated Learning (FL) has become a key choice for distributed machine
...
Most autonomous vehicles are equipped with LiDAR sensors and stereo came...
The potential held by the gargantuan volumes of data being generated acr...
Recent research on human robot interaction explored whether people's ten...
Wearable devices have the potential to enhance sports performance, yet t...