This paper introduces a novel approach for human-to-robot motion retarge...
The synthesis of human motion has traditionally been addressed through
t...
In this paper, we present a novel learning-based shared control framewor...
In this paper, we present a controller that combines motion generation a...
Understanding the human-object interactions (HOIs) from a video is essen...
We propose an extension of the input-output feedback linearization for a...
After many researchers observed fruitfulness from the recent diffusion
p...
In many applications of advanced robotic manipulation, six degrees of fr...
Comprehending human motion is a fundamental challenge for developing
Hum...
To anticipate how a human would act in the future, it is essential to
un...
Following work on joint object-action representations, functional
object...
The research community is puzzled with words like skill, action, atomic ...
Following work on joint object-action representations, the functional
ob...
This paper emphasizes the importance of robot's ability to refer its tas...
The definition of symbolic descriptions that consistently represent rele...
In this work, we study how well different type of approaches generalise ...
Efficient skill acquisition, representation, and on-line adaptation to
d...
In this paper, we focus on generating complex robotic trajectories by me...
Stable dynamical systems are a flexible tool to plan robotic motions in
...
The challenge of markerless human motion tracking is the high dimensiona...
In this work, we introduce the problem of cross-modal visuo-tactile obje...
In this paper, we present a descriptor for human whole-body actions base...
In this letter, we present an approach for learning in-hand manipulation...
A prioritized inverse kinematics (PIK) solution can be considered as a
(...
In this paper, we study various theoretical properties of a class of
pri...
Recently, 3D input data based hand pose estimation methods have shown
st...
This paper presents an approach to damp out the oscillatory motion of th...
Since the emergence of large annotated datasets, state-of-the-art hand p...
In this paper, we strive to answer two questions: What is the current st...
Estimating the internal state of a robotic system is complex: this is
pe...