MANAS humanoid robot developed by M CAD Solutions

Built in Pune · Designed for the physical world

Physical AI, engineered into real machines.

M CAD Solutions builds indigenous robotic platforms that connect mechanical engineering, embedded control, ROS 2, computer vision and digital twins—from prototype to real-world deployment.

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MANASHumanoid platform in active integration
DEXTER6-DOF physical robotic arm
ROS 2 + VisionControl, teaching and perception workflows
Digital TwinSimulation-to-real engineering

What we build

Robotics hardware, software and digital twins—engineered as one system.

We design the mechanical structure, integrate actuators and electronics, build the ROS 2 control layer, add computer vision and validate the complete system on real hardware.

Current development status

Working systems, demonstrated step by step.

We publish progress as capabilities are integrated and demonstrated on physical hardware. These are current engineering milestones—not promises of a finished commercial product.

Demonstrated

MANAS voice interaction

Real-time speaking, listening and question-answering have been demonstrated on the MANAS humanoid platform. Motion, perception and interaction capabilities remain under active integration.

Demonstrated

Dexter teach & playback

Manual lead-through teaching, joint-state recording and autonomous path playback have been demonstrated through a ROS 2-connected control workflow.

In development

Perception to manipulation

Computer vision, calibration and robot-frame motion are being developed as an integrated pipeline for repeatable physical pick-and-place tasks.

Capability availability depends on the selected platform, configuration and deployment scope. Contact us for a current technical demonstration.

Product platforms

Real hardware first. Intelligence built around it.

Two in-house robotics platforms—MANAS and Dexter—give us a hardware foundation for perception, manipulation, human interaction and simulation-to-real development.

Full-body MANAS humanoid prototype
MANAS humanoid engineering and assembly work
01

Humanoid / Physical AI

MANAS

An embodied Physical AI research platform for articulated motion, gestures, voice, vision and human–robot interaction. Its purpose is to connect interaction research with a physical humanoid and a corresponding digital workflow.

ROS 2Human–robot interactionDigital twinVision & AI

A working physical prototype in active integration and testing.

02

6-DOF Manipulator

Dexter

A compact manipulation platform for teaching motion, calibrating robot–camera workflows, developing pick-and-place and testing ROS 2 control against physical hardware.

6 DOFROS 2Teach & playbackVision integration

A physical robot with a digital workflow for perception, control and experimentation.

Dexter robotic arm product view
Dexter robotic arm operating in a laboratory setting

Project configuration

Configured for your institution. Engineered as one system.

Selected appearance, identity and hardware options can be scoped for each deployment without turning the platform into a generic catalogue product.

Project-configurable

Colour & finish

Robot shell colour and finish can be selected to suit the lab, institution or demonstration environment, subject to manufacturing approval.

Project-configurable

Client identity

Approved institution or company name, logo treatment, asset identification and project labelling can be applied to the delivered system.

YOUR INSTITUTIONRobotics laboratory · Asset 01
Scoped per deployment

Application configuration

Tooling, cameras, sensors, compute and control accessories are selected around the intended research or pilot workflow.

End-effectorVisionSensingComputeControl

Examples indicate available design directions, not stocked variants. Final configuration, lead time and validation depend on the agreed project scope.

Technology

One engineering stack, from mechanics to intelligent motion.

Our robots are developed in-house across mechanical design, electronics, control, ROS 2, perception and digital-twin workflows.

Robot CAD engineering work
Mechanical architecture and CAD development

A robot only works when every layer is engineered to work together.

01

Mechanical engineering

Mechanisms, structure, joint packaging, bearings, DFM and rapid physical iteration.

02

Electronics & control

Actuators, sensors, embedded controllers, motor communication and joint calibration.

03

ROS 2 & digital twin

URDF, control interfaces, simulation, Unity and Gazebo workflows, and real-robot synchronization.

04

Vision & AI

Object detection, calibrated perception and intelligent interaction developed toward reliable physical robot motion.

Integration in progress

Physical robot ↔ digital clone

Physical robot. Digital clone. One engineering loop.

Each lab platform begins with a physical robot. A project-specific Unity digital clone represents selected geometry, joint structure, limits, tooling and interfaces so work can be rehearsed, inspected and compared before physical validation.

Physical robotDigital cloneUnity simulationROS 2Physical validation
Robot and cell sceneJoint-state visualisationReach and trajectory studiesCollision and clearance studiesSimulated sensor viewsROS 2 interface testing

These are industrial-style simulation workflows, not a claim of feature parity with every industrial simulation package. Availability depends on platform and project phase.

Dexter robot shown with a digital twin interface during a demonstration
Real Dexter + digital control interface during a live demonstration.

Deployments & engagement

Robotic platforms and institutional deployments built for real experimentation.

Institutional engagement

SKN Vadgaon · MMCOE Pune

Hands-on robotics initiatives supporting demonstrations, applied research and engineering experimentation.

Integrated engineering

ROS 2 · Digital Twin · Robot Design

Mechanical design, simulation, control and real robot hardware developed as one connected workflow.

Lab & CoE capability

Robotics labs · Demonstrations · Technical handover

Support for institutions building practical robotics infrastructure around real hardware and digital workflows.

Institutional & research partnerships

From working prototypes to deployable robotics infrastructure.

We work with universities, research groups, innovation programs and industry partners on Physical AI platforms, pilot deployments and long-term robotics capability.

Purpose of the lab

Create a shared engineering environment where teams can model, simulate, integrate, test and validate the same robot across digital and physical systems—from robot design and digital clone to task rehearsal and real-hardware demonstration.

What can be included in a lab deployment

Site-readiness and system architectureRobot hardware and accessory integrationUnity digital-clone environmentROS 2 and control-interface setupCommissioning and validationDocumentation and technical handover

Maintenance, updates and ongoing technical support are defined in the project proposal and support scope.

01

Research & applied R&D

Use MANAS and Dexter as development platforms for perception, manipulation, human–robot interaction, ROS 2 and digital-twin research.

Research platforms
02

Robotics labs & Centres of Excellence

Plan the system architecture, integrate hardware and simulation, validate workflows and complete technical handover for a sustainable institutional facility.

Institutional deployment
03

Industry & ecosystem collaboration

Develop pilot projects, evaluate components and compute, and co-create Physical AI applications with measurable engineering milestones.

Co-development
ScopeArchitectIntegrateValidateDemonstrateScale

Accelerator & ecosystem readiness

Scaling indigenous Physical AI through focused partnerships.

We are advancing working robotic platforms into repeatable products and deployments, and are seeking relationships with accelerator programs, compute partners, research institutions and manufacturing networks.

01

Product & market validation

Structured pilots with institutions and research teams to convert demonstrated capabilities into repeatable deployment packages.

02

AI compute & perception

GPU-accelerated vision, simulation, human–robot interaction and real-time robotics integration for physical systems.

03

Manufacturing & supply chain

Design-for-manufacture, component reliability, actuator packaging, quality processes and scalable assembly.

04

Research & ecosystem access

Collaboration around Physical AI, manipulation, digital twins, humanoid interaction and applied robotics pilots.

Collaboration priorities

Compute, sensing, validation, manufacturing and pilot deployment.

AI computeVision & sensingProduct validationManufacturingInstitutional pilots
Founder Manoj Potdar with MANAS humanoid
M CAD Solutions engineering team

About M CAD Solutions

Built by a cross-disciplinary robotics engineering team.

Manoj PotdarFounder · Robotics & Digital Twin Engineering

18 years of experience across robotics automation and mechanical design, leading product engineering and system integration.

Suraj SurveDeveloper · 3 years with M CAD Solutions

Robotics software and development, contributing to the software layer that connects simulation, control and real hardware.

Cross-disciplinary engineering teamMechanical · Embedded · ROS 2 · AI · Digital Twin · Prototyping

About us

Engineering Physical AI from India.

We combine mechanical engineering, robotics software and digital twins to build machines that can sense, move, interact and perform useful physical tasks.

Mission

Build practical robotic platforms that connect engineering with intelligence.

Design and develop robots, digital twins and automation systems for research, institutional deployment and real-world applications.

Vision

Build a globally relevant Physical AI company from India.

Create humanoids, manipulators and intelligent robotic systems that can perceive, interact and operate in the physical world.

Product demos · Research · Labs · Partnerships

Start a robotics conversation.

Tell us what you are building or evaluating. We welcome product demonstrations, institutional deployments, applied research, pilot projects and ecosystem partnerships.

Send an enquiry

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