Published May 30, 2021 | Version v1
Conference paper Open

Minimum-Effort Task-based Design Optimization of Modular Reconfigurable Robots


The flexibility and adaptability of modular and re-configurable robots opens up new opportunities for on-demand robot morphology optimization for varying tasks. In particular, multi-arm robotic systems can expand the solution space for any given task. In this paper, we present a novel approach to exploit this feature for generating optimal fit-to-task robot structures with respect to a minimum-effort objective. By describing the task in terms of relative poses between the end-effector and the constraint frame, and making use of the relative Jacobian, the minimum effort optimization problem can be equally expressed for single-arm or multi-arm robots. We test our approach for a peg-in-hole and a contour-following task and compare the performance of the optimal solution obtained with that of a standard manipulator configuration.



Files (4.5 MB)

Name Size Download all
4.5 MB Preview Download

Additional details


CONCERT – CONfigurable CollaborativE Robot Technologies 101016007
European Commission