31 citations · 34 across the 11 of their papers we have counts for
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cs.RO2023
BeBOP -- Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks
Jonathan Styrud, Matthias Mayr, Erik Hellsten +2
Robotic systems for manipulation tasks are increasingly expected to be easy to configure for new tasks. While in the past, robot programs were often written statically and tuned ma…
cs.RO2023★ 1 cited
A Framework for Learning Behavior Trees in Collaborative Robotic Applications
Matteo Iovino, Jonathan Styrud, Pietro Falco +1
In modern industrial collaborative robotic applications, it is desirable to create robot programs automatically, intuitively, and time-efficiently. Moreover, robots need to be cont…