Optimization-based docking and gripping planning for composite robots in dynamic warehouses using virtual shelf partitioning and mutation-driven coverage
Published online on March 03, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
An intelligent docking-and-gripping framework for composite robots, based on Material Partitioning via Virtual Shelves (MPVS) and Mutation-Based Coverage Optimization (MBCO), is developed to overcome the limitations of traditional static workstations and ...
An intelligent docking-and-gripping framework for composite robots, based on Material Partitioning via Virtual Shelves (MPVS) and Mutation-Based Coverage Optimization (MBCO), is developed to overcome the limitations of traditional static workstations and ...