For facilities too large for a single robot or requiring 24/7 coverage without downtime, we coordinate multiple autonomous systems to work as a unified team.
Status: Available Q2 2026
Multi-robot coordination means multiple autonomous robots working together—sharing information, dividing tasks, and collaborating to cover more ground more efficiently.
Like security guards communicating on radios, our robots:
Share what they see with each other
Divide patrol areas automatically
Respond to incidents together when needed
Cover for each other during charging cycles
Optimize routes based on real-time conditions
The result? Better coverage, faster response, and more efficient operations than multiple independent robots.
Assigns patrol zones to each robot
Balances workload dynamically
Adjusts assignments based on priorities
Handles robot availability (battery, maintenance)
Example: 3 Robots, Large Campus
Robot A: East wing and perimeter (high-priority)
Robot B: West wing and loading docks
Robot C: Central areas and backup coverage
The system automatically adjusts if:
Robot A detects an incident (Robot B assists, Robot C covers Robot A's zone)
Robot B needs charging (Robot A expands coverage temporarily)
High-activity event in one zone (multiple robots reassigned)
What each robot sees is shared with others
Incident detection triggers coordinated response
Coverage gaps identified and filled automatically
Performance data aggregated for insights
Example Scenario
2:00 AM: Robot A detects unusual activity in parking lot
Robot A approaches and begins recording
Robot B is automatically notified and heads to assist
Robot C adjusts route to cover Robot B's abandoned zone
Security team receives alert with video from both robots
Incident resolved, robots return to normal patrol
All coordination happens in seconds, automatically.
Robots avoid patrolling same area simultaneously (unless needed)
High-priority zones get more frequent coverage
Coverage adapts to time of day and activity levels
System learns optimal patterns over time
Charging schedules staggered for continuous coverage
Low-battery robot covered by others during charging
Emergency protocols if multiple robots need charging
Predictive scheduling prevents coverage gaps
If one robot malfunctions, others compensate
System continues operating at reduced capacity
Automatic alerts for maintenance needs
Graceful degradation, not complete failure
Universities, corporate campuses, hospitals
200,000+ sq ft with multiple buildings
Complex layouts requiring zone coverage
High-security areas needing rapid response
Benefit
Complete coverage without blind spots or gaps
Manufacturing plants with multiple zones
Indoor + outdoor areas requiring different approaches
Perimeter + internal security
Shift-based operations with varying activity
Benefit
Adapt coverage to production schedules
Warehouses with multiple loading areas
24/7 operations with constant activity
High-value asset protection
Large footprint requiring multiple units
Benefit
Continuous coverage during peak and off-hours
Shopping complexes, mixed-use developments
Residential communities with amenities
Business parks with shared services
Facilities with varying security needs by area
Benefit
Tailored coverage for different zones
PDDL-based mission planning
Real-time task allocation
Priority-based scheduling
Conflict resolution algorithms
Each robot operates autonomously
Local decision-making for immediate responses
Coordination through messaging protocols
Fault-tolerant (works even if central system fails temporarily)
Low-latency mesh network between robots
5G/WiFi connectivity to central system
MQTT messaging for lightweight coordination
Encrypted communications (TLS 1.3)
If coordination system fails, robots continue independent patrol
Essential functions maintained (detection, alerting)
Automatic reconnection when system restored
No single point of failure
Robots trained together in digital twin
Practice collaborative scenarios
Learn optimal task division
Validated before deployment
System improves coordination over time
Learns from successful/unsuccessful responses
Adapts to facility-specific patterns
Continuous optimization based on real data
Pre-programmed incident responses
Emergency evacuation support
Event-based coordination (high activity periods)
Custom scenarios for your facility
1. Robot A detects unauthorized person in restricted area
2. Robot A approaches and begins documentation
3. System alerts Robot B (nearest) to assist
4. Robot C adjusts route to cover Robot B's zone
5. Security team receives alert with video from both robots
6. After resolution, robots return to normal patrol
Response Time
< 30 seconds from detection to coordinated response
1. Robot B battery reaches 20% threshold
2. System schedules return to charging station
3. Robot A expands patrol to cover Robot B's zone
4. Robot C shifts to provide additional coverage
5. Robot B charges (2 hours)
6. Upon completion, robots resume optimal configuration
No Coverage Gaps
Continuous protection maintained
1. System detects increased activity at main entrances
2. Robot A assigned to monitor entrance zone
3. Robots B and C cover other areas more frequently
4. After activity subsides, robots return to standard patrol
5. Pattern learned for future shift changes
Adaptive
System learns your facility's activity patterns
1. Robot A detects fire alarm in Zone 1
2. Robot B detects unauthorized access in Zone 3
3. System prioritizes: Fire = highest priority
4. Robots A & C respond to fire zone
5. Robot B continues monitoring unauthorized access
6. Security team receives prioritized alerts
Intelligent Prioritization
Critical issues get immediate multi-robot response
Digital twin creation
Single robot training and deployment
Command center setup
Investment:
Faster deployment (digital twin already exists)
Coordination training in simulation
Fleet management system upgrade
Investment: Lower per-unit cost
Multi-robot task allocation
Communication infrastructure
Fleet management dashboard
Investment: One-time setup + ongoing support
First robot: 6-8 weeks
Each additional robot: 3-4 weeks
Coordination system: 1-2 weeks
3 robots < 3x cost of 1 robot (shared infrastructure)
Better coverage than adding human guards
Scales efficiently for large facilities
Deploy first robot to prove concept
Validate performance and ROI
Build digital twin foundation
Establish operational processes
Expand coverage to additional areas
Basic coordination (zone division)
Redundancy during charging
Test multi-robot workflows
3+ robots working as unified team
Advanced coordination scenarios
Optimized coverage and response
Maximum efficiency and ROI
Start with one, scale as needed
No commitment to full fleet upfront
Expand based on actual results
Investment scales with your growth
No. Start with one robot, then add more as needed. We recommend proving single-robot ROI before scaling to multiple units.
The others automatically compensate, adjusting their coverage to fill gaps. The system degrades gracefully rather than failing completely.
Yes, as long as they're connected to the network (WiFi/5G). They share information in real-time regardless of physical distance.
No—the dashboard shows all robots in one unified view. You manage the fleet, not individual robots. Often easier than managing multiple systems.
Technically, dozens. Practically, most facilities need 2-5 robots. We'll assess your facility and recommend the optimal number.
No. Collision avoidance is fundamental. Robots maintain safe distances and coordinate paths. Trained extensively in simulation before deployment.
Large facility (100,000+ sq ft) or multi-building campus
Already interested in autonomous security
Ready to deploy 2-3 robots simultaneously
Willing to provide feedback on coordination features
Early Partner Benefits
25-30% discount on multi-robot deployments
Priority access to Q2 2026 deployment slots
Direct input on coordination features and dashboard
Extended support and optimization period
Case study and PR opportunities (optional)
Requirements
Facility in UAE, Middle East, or Pakistan
Ready to start within 60-90 days
Committed to at least 2 robots (3+ preferred)
Available for periodic feedback sessions
