This document provides a comprehensive walkthrough of how artificial intelligence and robotics systems integrate to create an effective customer service robot. The integration combines advanced AI capabilities with sophisticated mechanical and electrical systems to enable natural customer interactions and physical task performance.

projectobelisk Large
obelisk Large

Project Obelisk is the cornerstone of our robotics innovation at Oliver Wall & Associates, representing our venture into scalable, intelligent automation solutions. Our first rollout includes customer service robots for retail spaces and brick-laying automation systems for construction applications.

Customer Service

Use Case: Retail Assistant in high-traffic retail environments (malls, electronics stores, showrooms).

Features:

  • Conversational AI trained on customer FAQs, upselling, and store navigation.

  • Built-in 3D cameras for facial recognition and gesture detection.

  • LIDAR and ultrasonic senor

    for crowd-aware navigation.

  • Interactive 10″ touchscreen for browsing store items or promotions.

  • Inventory scanning and real-time integration with POS systems.

  • Language translation support for global retail chains.

Value Proposition:

  • 3x faster resolution of in-store inquiries.

  • Reduces strain on human workforce.

  • Engages and delights customers, improving NPS.

Brick-Laying

Use Case: Mid-rise construction site automation.

Features:

  • Robotic arm with adaptive gripper for handling variable-sized bricks.

  • Onboard vision system and laser leveler for precision.

  • Autonomous navigation of site terrain.

  • Integrated BIM support for real-time layout updates.

Value Proposition:

  • Up to 70% increase in laying efficiency.

  • Reduces material waste and human error.

  • Operates in high-heat and repetitive conditions unsuitable for humans.

The integration of AI and robotics for customer service applications represents a complex but achievable technical challenge. By carefully designing the interfaces between perception, cognition, and action systems, and by implementing appropriate hardware abstraction and software frameworks, we can create robots that effectively combine physical capabilities with intelligent behavior.

The layered architecture described in this walkthrough provides a robust foundation for developing customer service robots that can navigate environments, interact naturally with customers, manipulate objects, and solve problems—all while maintaining safety and reliability. As AI and robotics technologies continue to advance, this integration approach can evolve to incorporate new capabilities while maintaining backward compatibility with existing systems.

For details, check out our Robotics Integration below:

AI and Robotics Integration Walkthrough

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