The robot skin placement problem: a new technique to place triangular modules inside polygons
This addresses the challenge of efficiently covering robot surfaces with tactile sensors using cheap, replicable hardware, which is incremental as it builds on existing packing methods with a new physical-inspired approach.
The paper tackles the problem of optimally placing triangular tactile sensor modules on robot surfaces to maximize coverage, proposing a novel layout design method called Iterative Placement (ItPla) that arranges modules based on physical forces, and it evaluates the algorithm through case studies from the literature.
Providing robots with large-scale robot skin is a challenging goal, especially when considering surfaces characterized by different shapes and curvatures. The problem originates from technological advances in tactile sensing, and in particular from two requirements: (i) covering the largest possible area of a robot's surface with tactile sensors, and (ii) doing it using cheap, replicable hardware modules. Given modules of a specific shape, the problem of optimally placing them requires to maximize the number of modules that can be fixed on the selected robot body part. Differently from previous approaches, which are based on methods inspired by computational geometry (e.g., packing), we propose a novel layout design method inspired by physical insights, referred to as Iterative Placement (ItPla), which arranges modules as if physical forces acted on them. A number of case studies from the literature are considered to evaluate the algorithm.