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Intelligent Robotics

Autonomous Robots That Actually Think

AI-powered AMR fleets that navigate, adapt, and self-optimize across your facility — without rigid fixed paths or brittle rule sets.

99.7%
Navigation Accuracy
40%
Throughput Increase
<50ms
Obstacle Response
24/7
Autonomous Operation

Core Capabilities

Every layer of the autonomy stack — perception, planning, execution, and learning — built and maintained by Duhitr.ai.

🗺️
SLAM Navigation

Simultaneous localization and mapping with real-time environment reconstruction. Robots build and update floor maps on the fly.

🤖
Fleet Orchestration

Centralized command layer dispatches, reroutes, and load-balances across hundreds of AMRs without human intervention.

👁️
Computer Vision

Edge-deployed vision models detect objects, read barcodes, verify pick accuracy, and flag anomalies in real time.

⚡
Predictive Maintenance

Sensor fusion and ML models surface failure probability hours before downtime occurs, scheduling maintenance at zero-impact windows.

🔗
WMS / ERP Integration

Bidirectional connectors to SAP, Oracle, and Manhattan Associates — no middleware layer, no batch sync delays.

🛡️
Safety Compliance

ISO 3691-4 and ANSI/ITSDF B56.5 certified safety zones. Dynamic speed reduction and zone locking on human detection.

Industry Applications

Proven deployments across the hardest logistics environments.

E-Commerce

Goods-to-person picking: AMRs deliver shelving pods to stationary pickers, cutting walk time by 70%.

Automotive

In-line sequencing: robots deliver kitted parts to assembly stations in takt-time windows.

Pharma

Cold-chain intralogistics with temperature-monitored routing and chain-of-custody audit trails.

Food & Bev

Pallet movement in refrigerated DCs operating at -18°C — hardware rated and AI adapted.

Retail DC

Multi-zone replenishment and returns processing with dynamic slotting recommendations.

3PL

Multi-tenant fleet management: robots re-assigned across client zones by demand signal.

How It Works

From empty warehouse to autonomous fleet in four phases.

1
Site Survey

Digital twin of your facility created from LiDAR scan. Traffic patterns and throughput peaks mapped before a single robot is deployed.

2
Fleet Config

Robot roles, zones, task priorities, and escalation rules configured via our no-code Fleet Console.

3
Integration

WMS/ERP connectors activated. Robots receive live task queues; completions write back in real time.

4
Go Live

Phased rollout with human-in-loop override. AI autonomy level increased incrementally as confidence metrics are met.

Powered by Duhitr.ai Products

Purpose-built software modules that integrate directly with your existing fleet hardware.

FleetMind Platform

Cloud-native orchestration layer for heterogeneous AMR fleets. Vendor-agnostic — works with MiR, Locus, Fetch, and custom hardware.

Fleet OSMulti-vendorReal-time
VisionEdge Module

On-robot vision inference at 30fps. Handles pick verification, label reading, and anomaly detection without cloud round-trips.

Edge AI< 20ms latencyONNX Runtime

Ready to Deploy Intelligent Robotics?

Our engineers will assess your facility, model throughput gains, and build a deployment roadmap — no commitment required.