This topic covers the emerging class of humanoid robotics solutions for logistics and distribution—platforms that pair humanlike mobility and manipulation with edge perception and multi‑agent AI orchestration to perform picking, sortation, aisle work and other intralogistics tasks. Interest in humanoid robots has grown as warehouses seek flexible automation that can adapt to changing SKUs, irregular items and constrained spaces where fixed conveyors or traditional AMRs fall short. Timely drivers (as of 2026‑05‑29) include persistent labor shortages, advances in on‑device computer vision, improved battery and actuator technology, and maturing safety and integration standards. Practically, deployments sit at the intersection of three categories: Autonomous Logistics Tools (task planning, fleet management, workflow integration), Edge AI Vision Platforms (real‑time perception and location awareness), and AI Automation Platforms (agent orchestration, governance, and business workflow automation). Complementary tools illustrate this stack: Gather AI provides continuous intralogistics digitization via autonomous drones and MHE‑mounted cameras; CargoBrain supplies domain‑specific AI agents for air‑cargo pricing and workflows; Kore.ai offers enterprise multi‑agent workflow orchestration with governance and observability; Xilos delivers agentic AI infrastructure for service connectivity and visibility; and Anakin.ai supplies no‑code automation apps for fast process augmentation. Key considerations for adopters include integration with WMS/TMS, edge/cloud partitioning for perception and control, safety certification, total cost of ownership versus productivity gains, and orchestration across robots, drones and software agents. Humanoid robots are positioned as a flexible complement to existing automation—most impactful when combined with robust edge vision and agentic AI platforms that coordinate physical actions with higher‑level logistics workflows.