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Hanvex Robotics

Singapore's Robotics Consultant for Autonomous Systems

We design, simulate, and deploy robotic systems that navigate, sense, and act reliably outside the lab — from warehouse floors in Tuas to open terrain across the region. Perception, control, and fleet software, built by one accountable team based in Singapore.

40+
Robotic Deployments
99.9%
Fleet Uptime
±2mm
Positioning Accuracy
12
Industries Served
ROS 2 / Nav2 NVIDIA Jetson & Orin Gazebo & Isaac Sim MoveIt Motion Planning Velodyne / Ouster LiDAR PX4 / ArduPilot IMU & GNSS Sensor Fusion OpenCV & PyTorch EtherCAT / CAN Bus Edge Kubernetes ROS 2 / Nav2 NVIDIA Jetson & Orin Gazebo & Isaac Sim MoveIt Motion Planning Velodyne / Ouster LiDAR PX4 / ArduPilot IMU & GNSS Sensor Fusion OpenCV & PyTorch EtherCAT / CAN Bus Edge Kubernetes

Capabilities

Nine disciplines, one robotics practice.

Everything required to take a robotic system from concept to reliable, fielded operation — including four new capabilities purpose-built for autonomous platforms.

New Capability

Autonomous Driving

Full-stack autonomy for wheeled and tracked platforms — perception, path planning, and decision-making tuned for unstructured, real-world environments rather than closed test tracks.

New Capability

LiDAR Navigation

High-density point-cloud processing for real-time obstacle avoidance and terrain classification, fused with camera and radar data for navigation that holds up in rain, dust, and low light.

New Capability

Precision Controlling

Closed-loop motion control engineered for sub-millimeter repeatability — from robotic arms on assembly lines to actuated platforms operating under variable load and terrain conditions.

New Capability

SLAM

Simultaneous Localization and Mapping that lets a platform build and continuously refine a map of an unknown environment while tracking its own position within it — no pre-surveyed facility required.

Core Practice

Artificial Intelligence

Perception and decision-making models — object detection, classification, and reinforcement learning — trained and validated for deployment on constrained edge hardware.

Core Practice

Industrial Automation

Control systems and automated process lines that integrate robotic cells directly into existing manufacturing and warehouse operations.

Core Practice

ROS

ROS 2-based software architecture for research platforms and production robots alike — nodes, drivers, and middleware built for maintainability at fleet scale.

Core Practice

3D Modelling

CAD and simulation-ready 3D models used for mechanical design, digital twins, and pre-deployment testing in physics-accurate virtual environments.

Core Practice

Robotic Process Automation

Software-side automation for fleet operations — dispatch logic, maintenance scheduling, and telemetry pipelines that keep robotic fleets running without manual oversight.

Performance

Numbers we hold ourselves to.

±0mm
Positioning Repeatability
0ms
Perception-to-Action Latency
0%
Average Fleet Uptime
0k+ hrs
Autonomous Operating Hours

Case Studies

Selected deployments.

Full write-ups are being prepared for publication. In the meantime, here's a look at the kind of problems our robotics team is fielding right now.

Case Study — Coming Soon
Logistics & Warehousing

Autonomous Fleet for Order Fulfillment

A multi-robot fleet using SLAM and LiDAR navigation to move inventory across a dynamic warehouse floor without fixed infrastructure like magnetic strips or beacons.

35%Faster Picking
24/7Continuous Ops
Case Study — Coming Soon
Energy & Utilities

Autonomous Inspection of Industrial Infrastructure

A precision-controlled inspection platform combining LiDAR and thermal imaging to detect infrastructure faults in facilities that are hazardous or impractical for manual inspection.

4xInspection Speed
0Manual Site Visits
Case Study — Coming Soon
Retail & Last-Mile

Sidewalk Delivery Robot Navigation Stack

An autonomous driving stack for a last-mile delivery platform, built to handle pedestrian-dense environments and unmapped sidewalk conditions in real time.

18Cities Piloted
99.2%Successful Deliveries

Hardware Integration

Sensor- and platform-agnostic by design.

We integrate with the hardware you've already invested in — or help you choose the right stack from day one.

LiD

LiDAR Sensors

Velodyne, Ouster, Livox, and solid-state units for dense 3D environmental mapping.

Cam

Depth & Stereo Cameras

RGB-D and stereo vision systems for close-range perception and object recognition.

IMU

IMU & GNSS

High-rate inertial and satellite positioning fused for drift-resistant localization.

Act

Industrial Actuators

Servo, stepper, and hydraulic actuation systems tuned for precision and payload demands.

Edg

Edge Compute

NVIDIA Jetson and ruggedized industrial PCs for on-device inference with no cloud dependency.

Arm

Robotic Arms & Grippers

Integration with major industrial arm manufacturers and custom end-effector design.

How We Build

From concept to fielded fleet.

01 — Assess

Define the operating envelope

We map the real environment the system must operate in — terrain, lighting, obstacles, and edge cases — before writing a line of code.

02 — Simulate

Validate in digital twin

Perception and control logic are tested in physics-accurate simulation, where failure is cheap and iteration is fast.

03 — Deploy

Field a pilot platform

A hardened pilot runs in the actual operating environment, instrumented to surface every edge case simulation missed.

04 — Operate

Scale and optimize the fleet

Telemetry from every unit feeds back into perception models and fleet logic, so performance keeps improving after launch.

Based in Singapore

A robotics consultant built for Singapore's operating conditions.

Singapore's density, humidity, and tightly regulated logistics corridors demand robotics that were tested for them specifically — not adapted from a system built somewhere else.

Our robotics consulting team works directly with manufacturers, port operators, and logistics providers across Singapore's key industrial zones — including Tuas, Jurong Island, and the Changi logistics corridor — to deploy autonomous systems that hold up under tropical humidity, high-density warehouse layouts, and Singapore's strict workplace safety requirements.

Whether you're automating a production line in Woodlands or piloting an autonomous inspection platform for port infrastructure, our team scopes, simulates, and fields the system on-site in Singapore — not remotely.

Ready to put autonomy to work?

Tell us about the environment your system needs to operate in. We'll tell you honestly what's achievable and what it takes to get there.

Talk to Our Robotics Team
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