AUTONOMOUS MOBILE ROBOTSFlagship

ARJUNA

AI-powered ROS-based Autonomous Mobile Robot for research and education

1-year warranty
48-hour support
Built on PRAN

Top speed: 0.7m/s
Payload: 10kg
Runtime: up to 8h
Weight: 4.5kg

[CONFIRM]Awaiting Newrro's confirmation

The operating system and ROS versions ARJUNA ships with today

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ARJUNA from the front, with depth camera and ultrasonic array

01 · OVERVIEW

Intelligent, reliable navigation on a modular ROS platform.

ARJUNA is an Autonomous Mobile Robot (AMR) built for intelligent, reliable navigation using a combination of 360° 2D LiDAR, 3D depth vision and a 9-axis IMU. It leverages SLAM, sensor fusion and autonomous path planning to map its surroundings, localise itself, detect obstacles and navigate dynamically through its environment. Built on a modular ROS architecture, ARJUNA provides a flexible foundation for developing scalable autonomous robotics applications.

Academic
Universities & research labs
Students program the controller directly, add their own sensors and study SLAM, navigation and perception on hardware that behaves like the industrial systems they'll meet later.
Industry
Startups, MSMEs & integrators
A ready chassis, drive and sensing stack to build on, so a team can prototype an autonomous product without designing the base robot from scratch.
Deployment
Service & delivery pilots
Point-to-point delivery, auto-docking and multi-robot coordination are already implemented, which makes short indoor pilots practical to run.

02 · ANATOMY

Tap a point to see what's on board.

Exploded view of ARJUNA, display-mount build, with its parts numbered

Exploded view · display-mount build

04 · KEY FEATURES

What ARJUNA does.

Autonomous path planning
Plans an efficient route to a goal coordinate and re-plans when the map changes.
Navigation with obstacle avoidance
Detects obstacles that appear mid-run and steers around them in real time.
LiDAR mapping
Builds accurate 2D maps of the space for reliable indoor navigation.
Sensor fusion with EKF
IMU, wheel encoders and LiDAR are fused through an extended Kalman filter for stable, low-drift odometry.
Visual SLAM
RGB-D input drives live pose estimation, loop closure and scene understanding indoors.
QR code tracking
Reads and follows QR markers for identification, docking and delivery routines.
Voice control
Spoken commands move the robot and it confirms each action back to the operator.
Web control
Live video, joystick teleoperation, battery status and mapping from a browser.
Expandable I/O
USB, I²C, UART and GPIO headers take extra sensors, cameras or compute.

05 · SOFTWARE AND AI

Software and AI capabilities.

ROS-based platform
Industry-standard robotics software, with GMapping, Hector, Cartographer and RTAB-Map SLAM.
Localisation and planning
AMCL and EKF sensor fusion for localisation; Dijkstra, A* and DWA path planning.
GPU-accelerated inference
Jetson-class compute runs neural networks on board for recognition and behaviour prediction.
OpenCV + DNN vision
Lightweight deep learning models run alongside classical computer vision at low latency.
Multi-sensor 3D perception
Depth, IMU and LiDAR combine into a volumetric picture of the surroundings.
Colour and object detection
Recognises and sorts objects by colour and shape, and follows them on command.

Ready-to-run programs

Included with every robot, ready to run on day one and to read, modify and extend.

01Navigation, fixed pathDrives to any coordinate on a saved map along a pre-planned route.
02Navigation, BUG-0 avoidanceSame goal-seeking, with dynamic avoidance of obstacles it meets on the way.
03Navigation, BUG-1 avoidanceA cleaner, more efficient avoidance strategy than BUG-0.
04Object following, LiDARTracks and follows an object held 0.4–0.6 m ahead, left or right.
05Object following, cameraLocks onto a chosen colour and follows it as it moves.
06Auto-dockingNavigates to the charging station coordinates and docks precisely.
07Delivery routineTakes up to four drop coordinates and works through them, avoiding obstacles.
08Voice controlMoves on spoken commands and confirms each action back to the operator.
09Master and slaveOne robot hands a delivery coordinate to another over the same Wi-Fi network.
10Manual controlDrive it from a laptop over VNC, with linear and angular velocity control.

06 · TECHNICAL SPECIFICATIONS

Full specifications.

Platform

Drive: Differential drive
Chassis: Rigid metal frame with modular mounting slots
Wheels: Rubberised and mecanum wheels with encoder feedback
Speed: 0.01 – 0.7 m/s
Payload: Up to 10kg
Dimensions: Approx. 350 × 280 × 200mm
Weight: 4.5kg including battery and sensors

Build

Structure: Aluminium frame with impact-resistant, hardened ABS covers
Manufacturing: Laser-cut panels, precision hydraulic-pressed 90° bends, 3D-printed structural parts
Actuators: 4 smart servo actuators · 20 kg·cm at 12V · 360° magnetic encoder · position, load and speed feedback
Manoeuvring: 360° point turn, radial turn, X and Y axis travel (mecanum)

Sensing

Sensors: 2K RGB camera · 3D RGB-D camera · 360° 2D LiDAR · 9-axis IMU · ultrasonic (20–400mm) · high-resolution wheel encoders
LiDAR: 360° scan, up to 12 m · IP54 water and dust protection

Navigation

SLAM: GMapping, Hector, Cartographer, RTAB-Map
Localisation: AMCL / EKF sensor fusion
Path planning: Dijkstra, A*, DWA
Obstacle avoidance: LiDAR and vision

Power & interface

Battery: 12V 10,000mAh Li-ion with BMS · fast charger · 3.5–8 hrs
Display: 7-inch 1024 × 600 IPS capacitive touch (5-point), plus 0.91-inch OLED status readout
Web interface: Live video · joystick teleoperation · battery status · mapping and path setting · browser access via local IP
Connectivity: Dual-band Wi-Fi and Bluetooth
Expansion: USB, I²C, UART, GPIO

Software & support

Operating system: [CONFIRM]The OS and ROS versions ARJUNA ships with today
Languages: Python, C++, YAML (ROS config)
Warranty: 1 year, 48-hour service turnaround

Indicative figures. Dimensions and performance may vary slightly from the physical unit, and component models are updated from time to time.

In the box

ARJUNA, fully assembled
Pre-flashed computer
Battery and charger
User guide and setup documentation
Curriculum access with purchase
Complimentary 4-day hands-on training
Rubber and mecanum wheel sets, with couplers
Wireless keyboard and mouse
Colour cubes for the camera-following programs
Cables, camera and display mounts, antennas and tools

07 · IN THE LAB

ARJUNA in institutional use.

See it in the gallery →

08 · RELATED PRODUCTS

Works with ARJUNA.

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[SUPPLY]Product photograph

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09 · REQUEST A QUOTE

Request a quote for ARJUNA.

Tell us the quantity you need and the configuration. We respond within 48 working hours.

Datasheet[SUPPLY]Corrected datasheet PDF

Quoting several products? Use the quote cart →

ARJUNA

Intelligent, reliable navigation on a modular ROS platform.

Universities & research labs

Startups, MSMEs & integrators

Service & delivery pilots

Tap a point to see what's on board.

Configure your ARJUNA.

What ARJUNA does.

Autonomous path planning

Navigation with obstacle avoidance

LiDAR mapping

Sensor fusion with EKF

Visual SLAM

QR code tracking

Voice control

Web control

Expandable I/O

Software and AI capabilities.

ROS-based platform

Localisation and planning

GPU-accelerated inference

OpenCV + DNN vision

Multi-sensor 3D perception

Colour and object detection

Ready-to-run programs

Full specifications.

Platform

Build

Sensing

Navigation

Power & interface

Software & support

In the box

ARJUNA in institutional use.

Works with ARJUNA.

BABHRU

Modular AMR

JetRick

Request a quote for ARJUNA.

Quote request — ARJUNA