4 accepted papers
Many optimization problems in robotics involve the optimization of time-expensive black-box functions, such as those involving complex simulations or evaluation of real-world experiments. Furthermore, these functions are often stochastic as repeated experiments are subject to unmeasurable disturbanc
In this paper we present an initial approach towards reversible robot movement primitives. Our approach is a modification of Dynamic Movement Primitives (DMPs), a widely used framework for robot learning from demonstration. DMPs are based on dynamical systems to guarantee properties such as converge…
This paper presents a method for numerically computing the highest path velocity that a collaborative robot can attain, while complying with safety requirements. The safety requirements are obtained from ISO/TS 15066 that describes a collaborative method called power and force limiting, which specif…
Simulation in robotics is often based on physics engines developed for computer games and animation. These engines are inaccurate due to the applied first order numerical integration and because their ways to resolve redundant contacts lead to contact forces that are distributed in a physically unre