Affiliation:
1. Department of Mechatronics, University of Innsbruck, 6020 Innsbruck, Austria
Abstract
Modular self-reconfigurable robots hold the promise of being capable of performing a wide variety of tasks. However, many systems fall short of either delivering this promised functionality due to constraints in system architecture or validating it on functional hardware prototypes. This paper demonstrates the functional capabilities of the Planar Adaptive Robot with Triangular Structure (PARTS) and documents the versatility of this robot system using a holistic approach that combines simulations and hardware demonstrations on a prototype with nine fabricated modules. PARTS is a two-dimensional modular robot consisting of modules with a shape-shifting triangular geometry capable of forming adaptable space-covering structures. Meta-modules and mesh restructuring techniques are presented as methods for achieving topological self-reconfiguration. The feasibility of these methods is demonstrated by applying them on a simulated reconfiguration example of 62 modules. The paper showcases the versatility of PARTS on the hardware prototype using task-specific configurations, including locomotion using a meta-module and a walker configuration, module-module interaction by establishing a bridge between two separated module clusters, and interaction with the environment using a gripper and supporting structure configuration. The results validate the versatility and emphasize the potential of the system’s design concept, motivating the transfer of the hardware architecture to the third dimension.
Funder
publication fund of the University of Innsbruck
Reference101 articles.
1. Jonsson, A.K., Morris, R.A., and Pedersen, L. (2007, January 3–10). Autonomy in Space Exploration: Current Capabilities and Future Challenges. Proceedings of the 2007 IEEE Aerospace Conference, Big Sky, MT, USA.
2. Modularity for the future in space robotics: A review;Post;Acta Astronaut.,2021
3. Modular self-reconfigurable robot systems [Grand challenges of robotics];Yim;IEEE Robot. Autom. Mag.,2007
4. Modular robotic systems: Methods and algorithms for abstraction, planning, control, and synchronization;Ahmadzadeh;Artif. Intell.,2015
5. Modular Robotic Systems: Characteristics and Applications;Ahmadzadeh;J. Intell. Robot. Syst. Theory Appl.,2016