2 papers
cs.RO2020
CIAO: MPC-based Safe Motion Planning in Predictable Dynamic Environments
Tobias Schoels, Per Rutquist, Luigi Palmieri +3
Robots have been operating in dynamic environments and shared workspaces for decades. Most optimization based motion planning methods, however, do not consider the movement of othe…
cs.LG2019
Unsupervised Learning through Temporal Smoothing and Entropy Maximization
Per Rutquist
This paper proposes a method for machine learning from unlabeled data in the form of a time-series. The mapping that is learned is shown to extract slowly evolving information that…