Robotic manipulation is critical for admitting robotic agents to various...
Long-horizon task planning is essential for the development of intellige...
We present hierarchical policy blending as optimal transport (HiPBOT). T...
Robotic manipulation stands as a largely unsolved problem despite signif...
Modeling interaction dynamics to generate robot trajectories that enable...
Motion generation in cluttered, dense, and dynamic environments is a cen...
Tactile sensors are promising tools for endowing robots with embodied
in...
Extracting informative representations from videos is fundamental for th...
Multi-objective optimization problems are ubiquitous in robotics, e.g., ...
In this paper, we focus on the problem of integrating Energy-based Model...
As robots play an increasingly important role in the industrial, the
exp...
Autonomous robots should operate in real-world dynamic environments and
...
Robot assembly discovery is a challenging problem that lives at the
inte...
Mobile Manipulation (MM) systems are ideal candidates for taking up the ...
Substantial advancements to model-based reinforcement learning algorithm...
Task and Motion Planning (TAMP) requires the integration of symbolic
rea...
Parameterized movement primitives have been extensively used for imitati...
Physical neighborhoods of grasping points in common objects may offer a ...
We present a novel multi-attentional convolutional architecture to tackl...
In this work we tackle the problem of child engagement estimation while
...
In this work we present a novel Long Short Term Memory (LSTM) based on-l...