The generation of energy-efficient and dynamic-aware robot motions that
...
Robotic taxonomies have appeared as high-level hierarchical abstractions...
Riemannian geometry is a mathematical field which has been the cornersto...
Visual imitation learning provides efficient and intuitive solutions for...
Dynamic motions of humans and robots are widely driven by posture-depend...
In contrast to humans and animals who naturally execute seamless motions...
Bayesian optimization is a data-efficient technique which can be used fo...
Despite the recent success of Bayesian optimization (BO) in a variety of...
Learning from demonstration (LfD) is an intuitive framework allowing
non...
Humans exhibit outstanding learning, planning and adaptation capabilitie...
In learning from demonstrations, it is often desirable to adapt the beha...
Bayesian optimization (BO) recently became popular in robotics to optimi...
This paper presents an overview of robot learning and adaptive control
a...
When data are organized in matrices or arrays of higher dimensions (tens...
Body posture influences human and robots performance in manipulation tas...