AccelPath Research & Innovation ™
TRACK A
Design Science Research Study: Autonomous Robotic Systems in Senior Living and Assisted Care Environments.
Affiliate Doctoral Researcher (DBA) - William Boren
This Design Science Research (DSR) study investigates the development, deployment, and iterative evaluation of specialized autonomous robotic artifacts designed to assist senior living communities. Guided by established DSR methodologies (Peffers et al., 2007; Hevner et al., 2004), this project bridges technical artifact creation with empirical field evaluation to address operational bottlenecks, caregiver fatigue, and resident engagement.
Problem Identification
Modern senior living facilities (independent living, assisted living, and memory care) face compounded operational pressures:
- Caregiver Burnout & Labor Shortages: Routine logistical tasks (linen delivery, meal tray distribution, environmental checks) consume up to 35% of frontline staff hours, reducing direct engagement with residents.
- Fall Risks & Unobserved Incidents: Gaps in passive monitoring lead to delayed incident response times during off-peak hours.
- Cognitive & Social Disengagement: Scalable, non-intrusive interactive tools to support resident stimulation remain limited.
Evaluation Metrics & Validation Criteria
- Operational Efficiency: Reduction in staff transit hours via automated logistics tracking.
- Safety & Reliability: Navigation success rate, collision-free run time, and precision in dynamic obstacle avoidance (pedestrians, wheelchairs, walkers).
- Usability & Acceptance: System Usability Scale (SUS) scores across staff cohorts and resident acceptance indices.
- Privacy & Governance: Zero raw video storage; zero-trust local inference validation in accordance with HIPAA and data security standards.
Core Competencies & Keywords
Design Science Research (DSR) | HealthTech Innovation | Cognitive Neurosystems | Autonomous Mobile Robots (AMRs) | Agentic AI Architecture | Enterprise Healthcare IT | Embodied Robotics & HRI | HIPAA & Interoperability
Introducing LG Robotics + NVIDIA
LG to Release Nvidia-Powered Humanoid in 2027
LG is developing a next-generation humanoid robot using Nvidia Isaac GR00T, Nvidia's open reasoning humanoid foundation model, for release in 2027.
Under the agreement, the bipedal humanoid will be built using Nvidia's Isaac GR00T foundation model, as well as its Jetson Thor platform for onboard computing, reasoning and control. LG also plans to use Nvidia Halos, the company's safety system for robotics.
AccelPath Research & Innovation ™
TRACK B
Design Science Research Study: Developing & Evaluating a Scalable Cognitive Neurosystem Framework for Enterprise Healthcare Integration.
Affiliate Doctoral Researcher (DBA) - William Boren
To address complex operational bottlenecks and critical data silos in modern care environments, this study applies a Design Science Research (DSR) methodology to architect, build an artifact, and evaluate an enterprise-scale Cognitive Neurosystem Framework.
Designed to bridge the gap between complex cognitive health technologies and legacy IT infrastructures, the framework prioritizes seamless HIPAA-compliant integration, scalable agentic workflows, and high-reliability system interoperability across enterprise healthcare and senior living networks.
Key Objectives & Architectural Pillars
- Artifact Design & Multi-Tier Architecture: Built a modular framework integrating edge middleware, secure cloud environments, and specialized application lines (including the AccelPath NeuroSystem and Navigator suite) to support real-time cognitive evaluation and interactive care delivery.
- Enterprise Integration & Interoperability: Developed robust, HIPAA-compliant API/data pipeline standards to eliminate friction between clinical data sources, setback box hardware deployments, and enterprise health management platforms.
- Methodological Evaluation: Employed iterative DSR cycles—testing prototype artifacts for technical stability, latency mitigation, security compliance, and user-centric scalability in real-world deployment scenarios.
- Strategic & Operational Alignment: Translated complex cognitive science metrics into actionable, data-driven operational insights for healthcare administrators, technology leaders, and clinical directors.
- Translational Health Impact: Translating cognitive science discoveries into clinical and operational practice, this research bridges bench-to-bedside gaps by deploying scalable, interoperable AI architectures directly into point-of-care and senior living environments.
Core Competencies & Keywords
Design Science Research (DSR) | Translational Health Sciences | Cognitive Neurosystems | Enterprise Healthcare IT | HIPAA Compliance | Agentic AI Architecture | HealthTech Innovation | System Interoperability | Digital Health Strategy
