TechForce Robotics Launches Proprietary Robotic Connective Network for Multi-Robot Coordination

TechForce Robotics Launches Proprietary Robotic Connective Network for Multi-Robot Coordination Technology designed to enable robots, AI systems, sensors, and operational software to communicate and coordinate autonomous workflows across connected enterprise environments.

Nightfood Holdings, Inc. (OTCQB:NGTF), doing business as TechForce Robotics (“TechForce” or the “Company”), today announced the launch of its proprietary Robotic Connective Network, a technology framework designed to enable autonomous robots, artificial intelligence, sensors, and operational software to communicate, exchange information, and coordinate workflows within a connected robotics ecosystem.

As organizations deploy increasing numbers of autonomous robots, TechForce believes a significant industry challenge is the fragmentation between individual robotic systems. Many robots are designed to perform specific tasks independently or within manufacturer-specific ecosystems, often requiring human involvement to coordinate workflows across different machines and platforms.

TechForce’s Robotic Connective Network is designed to address this challenge by serving as an intelligent coordination layer through which connected robots and systems can communicate observations, initiate tasks, and coordinate responses across a facility.

From Standalone Robots to Coordinated Autonomous Workflows The Robotic Connective Network is designed to allow events detected by one connected system to initiate actions by another. For example, in a hotel, mall, conference center, hospital, or other high-volume facility, a connected smart waste bin reaching capacity could automatically request a TIM-E robot to retrieve it.

While completing the task, TIM-E could identify debris through its vision systems and communicate that observation through the network, allowing another compatible robot to be assigned to address the condition. If a connected robot or sensor subsequently identifies a wet or dirty floor, the network could initiate a task for an available cleaning robot.

The objective is to enable multiple specialized robots to operate as part of a coordinated autonomous workforce rather than as individual machines requiring separate human instructions.

Within pharmaceutical manufacturing environments, an authorized operator could also interact with a Kebb-AI system using natural-language commands within an approved workflow. Subject to applicable controls and system configuration, Kebb-AI could transmit a request through the Robotic Connective Network to a PUR-E robot or another connected system to initiate the next authorized activity.

A Scalable Architecture for Enterprise Robotics TechForce is designing the Robotic Connective Network to support compatible robotic systems and hardware from multiple manufacturers, allowing organizations to expand their robotic infrastructure while maintaining a centralized coordination and intelligence layer.

Organizations may deploy the platform through configurations appropriate for their infrastructure and cybersecurity requirements, including proprietary air-gapped technologies, local networks, and secure internet connectivity. Depending on customer requirements and deployment configurations, the platform is designed to support AI-enabled camera systems, Large Language Models (LLMs), Vision Language Models (V...