FieldBots Intelligence is the next evolution of fleet management. After five generations that empowered operators to see and steer their fleets, FieldBots flips the script: the fleet now returns value. By combining three layers of intelligence — Physical, Big Data, and Agentic — FieldBots turns raw robot telemetry into actionable insight, fleet benchmarks, and autonomous suggestions that act on the real world. The result is a fleet that senses, learns, and helps its operators work smarter.
Physical Intelligence is the direct loop between the cloud and the real world. FieldBots learns from robots operating in material environments and acts back on that hardware. Rather than only showing telemetry, this layer interprets behavior, coordinates devices, and enforces fleet-level rules so that decisions grounded in hardware realities can be executed automatically.
An abstract layer of behavioral awareness beyond the robot firmware. Behavior Watch evaluates performance metrics such as water usage, energy consumption, and cleaned area yield. Deviations from expected behavior are translated into proactive alerts so operators can intervene before inefficiency becomes downtime.
A universal integration layer between robots and elevators. Elevator Coordination removes integration friction across countless robot and elevator manufacturers by providing a vendor-neutral bridge. With our KONE collaboration in DACH regions, distributors and integrators can coordinate vertical mobility without custom engineering for every device.
A single operational map built from live maps of Level 3 integrated robots. FieldBots merges per-robot maps into a comprehensive floor plan so operators can draw virtual walls and no-go zones across devices and areas. The fleet moves from isolated mapping to a unified spatial intelligence.
Fleet-level configuration and batch onboarding. Mass Configurations lets operators set team-wide behaviors and schedules. New devices inherit fleet defaults automatically, and batch editing puts configuration control at the fleet scale rather than the device level.
Big Data Intelligence harvests crowd-sourced data across the FieldBots Cloud to create benchmarks, financial projections, and lifecycle estimates. Anonymized comparisons reveal how a fleet or model performs against the global population and expose optimization and commercial opportunities operators could not see from isolated data alone.
Performance through comparative context. Utilization Benchmarks show whether a robot is being used to its potential relative to the same model across the global FieldBots network. Outperformance indicates optimal deployment; underperformance points to immediate improvement areas.
Real performance translated into real money. ROI Calculations combine acquisition cost, operating cost, runtime, and pricing per square meter or square foot to project break-even points for individual robots, sub-fleets, or entire operations. The output is a time-based profitability view for managers and customers.
A global view of firmware health and drift. Firmware Radar maps firmware versions across models and operators, surfacing experimental, current, and outdated releases. This visibility supports security, navigation quality, and access to newly unlocked features for purchased hardware.
Predictive wear analytics for consumables. By correlating runtime with recorded replacements, FieldBots estimates lifetimes for brushes, squeegees, suction lips and similar parts. These estimates enable more accurate costing, reduced waste, and stronger ESG and sustainability reporting.
Agentic Intelligence is the first practical step toward fleets that manage themselves. It harvests signals from Physical and Big Data Intelligence to propose or, where authorized, perform actions on behalf of operators. Opt-in controls keep human oversight in place while enabling automated workflows that scale.
An agent that files tickets automatically when a robot reports it is stuck. Each ticket includes a map snapshot at the reported location so teams can diagnose repeat failure points even if the robot has been moved. The feature makes recurring obstructions visible and actionable.
A proactive maintenance assistant. The agent watches status changes and usage patterns, then suggests targeted actions for maintainers — for example, reconnecting a lost device, performing an immediate repair, or scheduling preventive work. Suggestions can be converted into tickets with one action.
Automated, timely firmware updates. Building on Firmware Radar, this agent can trigger firmware rollouts at low-impact times for Level 3 integrated robots, or request updates via the designated dealer. The goal is to keep fleets on the most secure and capable software state without manual coordination.
A recovery and security monitor. Robots marked lost or stolen are monitored for any subsequent reconnection attempts. If a device appears again, the agent captures location and connection metadata for recovery or law enforcement follow-up and halts unauthorized reconnection until validated.
With the release of FieldBots 6.0, we're opening an entirely new chapter in fleet operations. Watch our CEO, Alexander Feil, as he walks you through the powerful new tools that await FieldBots users and explains how FieldBots Intelligence is changing the way robotic fleets are managed.
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