2019
Learning Singularity Avoidance
IROS 2019poster
With the increase in complexity of robotic systems and the rise in non-expert users, it can be assumed that task constraints are not explicitly known. In tasks where avoiding singularity is critical to success, this paper provides an approach, especially for non-expert users, for the system to learn…