Humans can produce complex whole-body motions when interacting with thei...
This short paper outlines two recent works on multi-contact teleoperatio...
Traditional approaches for learning on categorical data underexploit the...
This work develops a data-efficient learning from demonstration framewor...
Solving long sequential tasks poses a significant challenge in embodied
...
Robot motor skills can be learned through deep reinforcement learning (D...
Efficient traffic signal control (TSC) has been one of the most useful w...
Guaranteeing safe behaviour of reinforcement learning (RL) policies pose...
Biological studies reveal that neural circuits located at the spinal cor...
Continuous in-hand manipulation is an important physical interaction ski...
Videos depict the change of complex dynamical systems over time in the f...
Generating high-quality instance-wise grasp configurations provides crit...
This work developed a kernel-based residual learning framework for
quadr...
Inspired by the digital twinning systems, a novel real-time digital doub...
Industrial robots play a vital role in automatic production, which have ...
Scene segmentation in images is a fundamental yet challenging problem in...
Medical robotics can help improve and extend the reach of healthcare
ser...
This paper presents a multi-contact motion adaptation framework that ena...
This work developed collaborative bimanual manipulation for reliable and...
Over the past decades, industrial manipulators play a vital role in in
v...
Recently, industrial robots plays a significant role in intelligent
manu...
Industrial robot arms are extensively important for intelligent
manufact...
Non-linear activation functions, e.g., Sigmoid, ReLU, and Tanh, have ach...
The Jaccard index, also known as Intersection-over-Union (IoU), is one o...
The audio-video based multimodal emotion recognition has attracted a lot...
The image synthesis technique is relatively well established which can
g...
Legged robots have achieved remarkable performance in blind walking usin...
For the model-free deep reinforcement learning of quadruped fall recover...
In this paper, a peridynamics-based finite element method (Peri-FEM) is
...
Teleoperation of robots enables remote intervention in distant and dange...
Robust dynamic interactions are required to move robots in daily environ...
Legged robots are becoming increasingly powerful and popular in recent y...
This work proposed an efficient learning-based framework to learn feedba...
Deploying robots from isolated operations to shared environments has bee...
Assessing the performance of human movements during teleoperation and vi...
In legged locomotion, the relationship between different gait behaviors ...
Assessing human performance in robotic scenarios such as those seen in
t...
This paper presents a novel approach using sensitivity analysis for
gene...
This work developed a meta-learning approach that adapts the control pol...
With the rapid growth in virtual reality technologies, object interactio...
Achieving versatile robot locomotion requires motor skills which can ada...
We propose a new method for learning with multi-field categorical data.
...
The Jaccard index, also known as Intersection-over-Union (IoU score), is...
This paper presents a novel contact-implicit trajectory optimization met...
Applications of neuroimaging methods have substantially contributed to t...
This paper presents a new learning framework that leverages the knowledg...
Inspired by the fact that spreading and collecting information through t...
The deployment of robots in industrial and civil scenarios is a viable
s...
Research in multi-modal interfaces aims to provide solutions to immersio...
Robot teleoperation has been proposed as a solution to perform complex t...