This paper presents a novel concept to support physically impaired human...
This paper explores the challenges faced by assistive robots in effectiv...
Symbolic planning is a powerful technique to solve complex tasks that re...
Large language models (LLMs) have recently become a popular topic in the...
Learning from Demonstration (LfD) aims to encode versatile skills from h...
Recently the field of Human-Robot Interaction gained popularity, due to ...
Deformable Object Manipulation (DOM) is an important field of research a...
The current spread of social and assistive robotics applications is
incr...
Developing physically assistive robots capable of dressing assistance ha...
Reliable contact simulation plays a key role in the development of
(semi...
Moving away from repetitive tasks, robots nowadays demand versatile skil...
Deep reinforcement learning is an effective tool to learn robot control
...
The rise of deep learning has caused a paradigm shift in robotics resear...
Consistent state estimation is challenging, especially under the epistem...
The transition from free motion to contact is a challenging problem in
r...
When learning policies for robot control, the real-world data required i...
Learning robot control policies from physics simulations is of great int...