In this paper, we propose a Poisson-Nernst-Planck-Navier-Stokes-Cahn-Hil...
Hand-eye calibration is a critical task in robotics, as it directly affe...
Training long-horizon robotic policies in complex physical environments ...
Recent 3D-based manipulation methods either directly predict the grasp p...
In this paper, we focus on the simulation of active stereovision depth
s...
Contrary to the vast literature in modeling, perceiving, and understandi...
In this paper, we propose a cloud-based benchmark for robotic grasping a...
In this work, we tackle the problem of category-level online pose tracki...
In this paper, a thermal-dynamical consistent model for mass transfer ac...
In this paper, we develop a first order (in time) numerical scheme for t...
Building home assistant robots has long been a pursuit for vision and
ro...
Grasping is among the most fundamental and long-lasting problems in robo...
Composition of elementary skills into complex behaviors to solve challen...