Robotic manipulation challenges, such as gras** and object manipulation, have been
tackled successfully with the help of deep reinforcement learning systems. We give an …

Industrial robots and associated control methods are continuously develo**. With the
recent progress in the field of artificial intelligence, new perspectives in industrial robot …

Being able to map the activities of others into one's own point of view is one fundamental
human skill even from a very early age. Taking a step toward understanding this human …

Aiming at limitations in fully exploiting the temporal correlation features of the original
signals, expensive cost in parameter tuning, and difficulties in obtaining sufficient training …

Recent development in the Wire arc additive manufacturing (WAAM) provides a promising
alternative for fabricating high value-added medium to large metal components for many …

This paper provides a comprehensive review of the current status, advancements, and future
prospects of humanoid robots, highlighting their significance in driving the evolution of next …

The concept of learning has multiple interpretations, ranging from acquiring knowledge or
skills to constructing meaning and social development. Machine Learning (ML) is …

Traditional approaches in physics-based motion generation centered around imitation
learning and reward sha** often struggle to adapt to new scenarios. To tackle this …

Socially aware robot navigation is gaining popularity with the increase in delivery and
assistive robots. The research is further fueled by a need for socially aware navigation skills …

Fostered by novel analytical techniques, digitalization, and automation, modern bioprocess
development provides large amounts of heterogeneous experimental data, containing …