Learning from Demonstration (LfD) aims to encode versatile skills from h...
Deformable Object Manipulation (DOM) is an important field of research a...
Tracking tasks based on deep neural networks have greatly improved with ...
Developing physically assistive robots capable of dressing assistance ha...
Previous work has shown that 3D point cloud classifiers can be vulnerabl...
Most object manipulation strategies for robots are based on the assumpti...
This paper presents a topology optimization approach for the surface flo...
In extending fast digital clock synchronization to the bounded-delay mod...
For reaching dependable high-precision clock synchronization (CS) upon I...
For reaching fast and efficient self-stabilizing Byzantine pulse
synchro...
Robust pulse synchronization is fundamental in constructing reliable
syn...
For reaching efficient deterministic synchronous Byzantine agreement upo...
For tolerating Byzantine faults of both the terminal and communication
c...
To improve the overall efficiency and reliability of Byzantine protocols...
The authenticated broadcast is simulated in the bounded-degree networks ...
Message propagation is fundamental in constructing distributed systems u...
Estimating object 6D pose from an RGB image is important for many real-w...
Deep neural networks (DNNs) have been shown to be vulnerable to adversar...
Moving away from repetitive tasks, robots nowadays demand versatile skil...
The robotic manipulation of composite rigid-deformable objects (i.e. tho...
Previous adversarial attacks on 3D point clouds mainly focus on add
pert...
Data in the real world tends to exhibit a long-tailed label distribution...
Some deep neural networks are invariant to some input transformations, s...
This paper proposes a general approach to design automatic controls to
m...
3D point cloud analysis has received increasing attention in recent year...
Soft object manipulation has recently gained popularity within the robot...
Selecting safe landing sites in non-cooperative environments is a key st...
This paper proposes a unified vision-based manipulation framework using ...
In this article, we present a new scheme that approximates unknown
senso...
In this paper, we propose a new pipeline of training a monocular UAV to ...