MANUSH Developer Platform · MANUSH SDK

Build the skills intelligent machines will run.

With the MANUSH SDK, developers create robot behaviors, manipulation skills, navigation modules, perception modules, tools, voice agents, enterprise integrations and simulation environments — then train them in MANUSH Sim, test them against a virtual robot in the Sandbox and ship them through the MANUSH Skill Store.

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QUICKSTART
# 1 · Create a virtual MANUSH H2 in the Sandbox
curl -X POST https://manush.si/api/v1/sandbox/robots \
  -H "Authorization: Bearer $MANUSH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "H2", "name": "line-2-humanoid"}'

# 2 · Send a SafeCore-checked command
curl -X POST https://manush.si/api/v1/sandbox/robots/SBX-H2-XXXXXXXX/commands \
  -H "Authorization: Bearer $MANUSH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"command": "move_to", "params": {"x": 4.0, "y": 2.5}}'

# 3 · Read simulated telemetry
curl https://manush.si/api/v1/sandbox/robots/SBX-H2-XXXXXXXX/telemetry \
  -H "Authorization: Bearer $MANUSH_API_KEY"

01 MANUSH SDK

What you can build

Developers should be able to create robot behaviors, manipulation skills, navigation modules, perception modules, tools, voice agents, enterprise integrations and simulation environments. This creates a developer ecosystem around the robots.

Robot behaviors

Compose perception, navigation and manipulation into task-level behaviours.

Manipulation skills

Grasping, tool use, assembly and handover skills for hands and arms.

Navigation modules

SLAM, mapping, path planning and site-specific navigation.

Perception modules

Detectors, segmenters and sensor-fusion pipelines.

Tools

Drivers and SafeCore-authorised end-effector tools.

Voice agents

Multilingual voice interaction across Indian languages and dialects.

Enterprise integrations

Connect robots to WMS, MES, ERP and ticketing systems.

Simulation environments

MANUSH Sim scenes, synthetic objects and scenarios.

Teach by demonstration

Show it once → teach the robot the task.

A person demonstrates how to perform a task. MANUSH converts the demonstration into a reusable robot skill. Describe the steps and recording metadata in the developer dashboard and MANUSH drafts the skill manifest — primitives, required sensors and a conservative SafeCore envelope — ready to train in MANUSH Sim.

How demonstration-to-skill works →
  1. 01 Demonstrate — teleoperation, kinesthetic teaching, video or motion capture
  2. 02 Describe — steps, objects, tools, workspace, humans nearby
  3. 03 Draft — manifest with primitives, sensors and SafeCore permissions
  4. 04 Train & evaluate — synthetic runs in MANUSH Sim
  5. 05 Review & publish — SafeCore checklist, signed package, Skill Store

04 MANUSH Sim

Millions of simulated hours → fewer physical training hours.

A robotic digital-twin platform: factory simulation, warehouse simulation, home simulation, city environments, physics simulation, synthetic data, reinforcement learning, synthetic humans, synthetic objects, synthetic environments, failure simulation and safety testing.

MANUSH Sim overview →

factory

Factory simulation

Discrete-manufacturing hall: assembly cells, conveyors, fixtures, forklifts and operators working alongside robots.

warehouse

Warehouse simulation

High-bay warehouse with racking, pallets, totes, AMR traffic lanes and pick stations.

home

Home simulation

Indian apartment: kitchen, living room, bedrooms, bathroom, household objects, pets and family members.

city

City environments

Streets, sidewalks, markets and building entrances with pedestrians, two-wheelers, kerbs and mixed indoor/outdoor transi…

physics

Physics simulation

Contact-rich physics proving ground: slopes, low-friction surfaces, deformable objects, payload variation and actuator l…

synthetic

Synthetic data generation

Domain-randomised scenes (textures, lighting, camera noise, object poses) for training MANUSH Perception models with lab…

synthetic

Reinforcement learning gym

Reset-friendly task arenas with reward shaping for reinforcement learning of locomotion and manipulation policies.

synthetic

Synthetic humans

Dense populations of simulated people with varied body sizes, clothing, walking speeds and intentions — for human-aware…

MANUSH SafeCore™

Every skill declares its safety envelope.

High-level AI should never be allowed to bypass the low-level safety system. Skills declare SafeCore permissions — maximum speed, torque, minimum human distance and authorised tools — and MANUSH reviews each version against speed, torque, proximity, collision detection, emergency stop, restricted zones, human detection, tool authorization, battery safety, software permissioning, remote shutdown and anomaly detection before it reaches the Skill Store.

SafeCore permissions reference →

Business model

  • Skill marketplace

    Revenue share from third-party robot skills — 70 % to the developer by default.

  • Developer platform

    SDK/API subscriptions for teams building on MANUSH.

  • Simulation

    MANUSH Sim enterprise licensing.

MANUSH Developer Platform

The developer platform becomes the MANUSH ecosystem.

Create an account, get a sandbox API key in under a minute and ship your first skill to MANUSH robots.