Simulation to Real-World Transfer allows affordable and fast training of...
Deep Reinforcement Learning has shown its capability to solve the high
d...
Deep learning appearance-based 3D gaze estimation is gaining popularity ...
Although data-driven motion mapping methods are promising to allow intui...
In-hand manipulation is challenging for a multi-finger robotic hand due ...
Dexterous manipulation tasks usually have multiple objectives, and the
p...
Modern CNN-based face detectors have achieved tremendous strides due to ...
Wire-feed laser additive manufacturing (WLAM) is gaining wide interest d...
The advancement of machine learning promises the ability to accelerate t...
Recently, anchor-based methods have achieved great progress in face
dete...
Deep neural networks (DNNs) have been applied in a wide range of
applica...
To control part quality, it is critical to analyze pore generation
mecha...
In human-robot cooperation, the robot cooperates with the human to accom...
In teleoperation, research has mainly focused on target approaching, whe...
Shared control in teleoperation leverages both human and robot's strengt...
Shared control in teleoperation for providing robot assistance to accomp...
Increasing the autonomy level of a robot hand to accomplish remote objec...
Machine learning using limited data from physical experiments is shown t...
The deep reinforcement learning method for human-robot cooperation (HRC)...
In recent year, tremendous strides have been made in face detection than...
Natural-language-facilitated human-robot cooperation (NLC) refers to usi...
Natural-language-facilitated human-robot cooperation (NLC), in which nat...
It is critical for advanced manufacturing machines to autonomously execu...