Robozou ((install))

The United Nations projects that by 2050, persons aged 65 + will represent of the world population, up from 9 % in 2020 [1]. Simultaneously, the caregiver‑to‑elder ratio is decreasing due to demographic and socioeconomic pressures. Assistive robots can augment human caregivers by providing routine physical assistance (e.g., fetching objects, medication reminders) and monitoring health indicators. However, most existing platforms either lack the dexterity required for complex household tasks or suffer from rigidity that hampers safe human interaction.

| Problem | Likely cause | Solution | |---------|--------------|----------| | Robot doesn’t move | No move block in a loop | Add forever + move | | Eyes/arms misplaced | Parts not grouped | Use “group” tool before coding | | Sound doesn’t play | Volume muted or block missing | Check sound block + system volume | | Robot gets stuck | Too many conflicting rules | Simplify: use only one when trigger at start | robozou

: Players must adapt quickly to complex enemy behaviors and environmental hazards. The United Nations projects that by 2050, persons

The global demographic shift toward an ageing population imposes unprecedented demands on health‑care systems. Robotic assistive technologies promise to mitigate caregiver shortages and improve quality of life for older adults. This paper presents , a novel modular humanoid robot expressly engineered for in‑home elder‑care. RoboZou integrates a lightweight exoskeletal frame, a distributed sensor network, and a hierarchical AI control stack that blends model‑based locomotion with deep reinforcement‑learning (DRL) for adaptive interaction. We describe the system architecture, hardware and software components, and the methodological pipeline used to evaluate RoboZou in realistic domestic scenarios. Experimental results from a six‑month pilot with 30 participants demonstrate significant improvements in activity‑of‑daily‑living (ADL) assistance efficiency (↑ 42 % task completion rate) and user satisfaction (average SUS = 84.6). The paper concludes with an analysis of current limitations and a roadmap for scaling RoboZou toward commercial deployment. However, most existing platforms either lack the dexterity

Humanoid robotics, assistive technology, ageing society, modular design, reinforcement learning, human‑robot interaction, elder‑care.

Start with a specific event (like a new file in a folder).

A of a typical apartment (≈ 80 m²) was constructed using Habitat‑Sim . Physical interactions are simulated with MuJoCo physics. Domain randomization (textures, lighting, object masses) mitigates the sim‑to‑real gap.