Manned-Unmanned Teaming (MUM-T) Systems Engineering Training by Tonex
Manned-Unmanned Teaming (MUM-T) Systems Engineering Training by Tonex provides engineers, defense professionals, operators, and technical leaders with a structured understanding of integrated manned and autonomous platform operations. The course addresses mission delegation, autonomy levels, airborne UAS control, multi-UAS supervision, distributed ISR, command and control, networking, edge AI, decision support, trust, and interoperability.
Participants examine how coordinated platforms exchange information and support mission decisions across distributed environments. Cybersecurity is addressed through secure communications, protected data exchange, resilient command pathways, and trusted autonomous functions.
Cybersecurity considerations also include access control, network integrity, data assurance, and protection against interference or unauthorized control. The course uses a practical training approach that includes exercises, real-world case studies, and examples of processes and documentation used in MUM-T systems engineering projects.
Learning Objectives
Upon completion of this course, participants will be able to:
- Explain fundamental MUM-T concepts, operational roles, system boundaries, and mission relationships.
- Develop human-autonomy teaming approaches that balance operator authority, workload, and autonomous capabilities.
- Define mission delegation methods and appropriate autonomy levels for different operational conditions.
- Design command, control, communications, networking, and information-sharing approaches for distributed MUM-T operations.
- Apply ISR sharing, target handoff, AI-supported fusion, and decision-support concepts to coordinated missions.
- Evaluate interoperability requirements across manned platforms, UAS elements, sensors, communications systems, and mission-management components.
- Address cybersecurity risks affecting command links, autonomous functions, sensor data, mission information, and distributed networks.
- Develop an integrated MUM-T system architecture connecting mission management, UAS coordination, distributed sensing, AI fusion, and the common operational picture.
Audience
- Systems Engineers
- Aerospace Engineers
- UAS and Autonomous Systems Engineers
- Mission Systems Engineers
- Defense Systems Architects
- Command and Control Engineers
- ISR Engineers and Analysts
- Communications and Network Engineers
- AI and Autonomous Systems Specialists
- Integration and Interoperability Engineers
- Program Managers and Technical Leads
- Defense Acquisition Professionals
- Military and Government Technical Personnel
- Cybersecurity Professionals
Course Modules
Module 1: MUM-T Concepts and Teaming
- MUM-T operational concepts
- Manned and unmanned roles
- Human-autonomy teaming principles
- Operator authority relationships
- Mission workload distribution
- Collaborative mission behaviors
Module 2: Mission Delegation and Autonomy
- Mission delegation strategies
- Autonomy level definitions
- Task allocation methods
- Dynamic mission reassignment
- Autonomous decision boundaries
- Human oversight requirements
Module 3: UAS Control and Supervision
- Airborne UAS control
- Multi-UAS supervision
- UAS coordinator functions
- Platform control relationships
- Operator workload management
- Coordinated fleet operations
Module 4: ISR Sharing and Targeting
- Distributed ISR sharing
- Multi-platform sensor coordination
- Target handoff processes
- Sensor data synchronization
- AI-enabled information fusion
- Common operational picture development
Module 5: C2 Networks and Edge AI
- Command and control architectures
- SATCOM integration considerations
- Resilient mesh networking
- Edge AI processing
- Distributed decision support
- Secure mission data exchange
Module 6: Interoperability and Architecture Workshop
- Trust in autonomous functions
- Cross-platform interoperability
- Mission interface definition
- System architecture development
- Information flow engineering
- Architecture validation methods
During the architecture workshop, participants develop and document a representative MUM-T architecture showing the operational and information relationships among the major system elements:
Manned Platform
↓
Mission Management
↓
UAS Coordinator
↓
UAV 1 / UAV 2 / UAV 3 / UAV N
↓
Distributed Sensors
↓
AI Fusion
↓
Common Operational Picture
The architecture activity emphasizes how mission intent moves from the manned platform through mission-management functions to the UAS coordinator, while multiple UAVs execute assigned tasks and provide distributed sensor information. Participants examine how sensor outputs can be processed at the edge, fused through AI-enabled functions, and presented through a common operational picture for coordinated decision-making.
The exercise also addresses interface definitions, command relationships, data flows, communication dependencies, autonomy boundaries, interoperability requirements, and operator responsibilities. Particular attention is given to resilient C2 pathways, SATCOM connectivity, mesh-network behavior, target handoff, ISR dissemination, and the assurance of information moving between distributed mission elements. Participants consider how trust in autonomy is established through transparent decision support, predictable system behavior, operator awareness, verification measures, and clearly defined authority boundaries.
Cybersecurity considerations are incorporated throughout the architecture, including authentication, authorization, protected communications, mission-data integrity, resilient network design, secure interfaces, and controls designed to prevent unauthorized access to autonomous or remotely controlled assets.
Advance Your MUM-T Engineering Capability
Strengthen your ability to design integrated, resilient, interoperable, and secure teaming architectures with Manned-Unmanned Teaming (MUM-T) Systems Engineering Training by Tonex. Build the systems engineering knowledge needed to support advanced defense, aerospace, ISR, autonomous platform, and multi-domain mission programs.