KAALKRIT
CH. 00
ORIGIN
  1. 00Origin
  2. 01The Problem
  3. 02The Vision
  4. 03Architecture
  5. 04Mission Control
  6. 05Research
  7. 06Organization
  8. 07Roadmap
  9. 08Partnership
  10. 09Manifesto
Kaalkrit Robotics — India

Autonomous Intelligence
for GPS-Denied Worlds.

Building India's indigenous indoor robotics platform — engineering the autonomy that begins exactly where satellite navigation ends.

SLAM ACTIVE
0 GPS SIGNAL
247 PTS MAPPED
Scroll
The Problem
Traditional drones fail indoors.
No GPS. No fixed reference.
No map. No prior knowledge of the space.
Low visibility. Smoke, dust, collapse.
Every second of delay costs a life.
02The Vision

One roadmap. Six inflection points.

Now

Simulation

Validating perception, SLAM, and mission planning entirely inside simulated GPS-denied environments.

Next

Competition

NIDAR AirMouse — the first public proof that the stack survives an unknown, real environment.

Research Platform

Opening the autonomy stack to research partners across academia and industry.

Commercial Product

Productizing the platform for search and rescue, inspection, and mapping.

Autonomous Swarm

Coordinated multi-agent autonomy operating without any external positioning signal.

Global Robotics Company

An indigenous robotics platform, deployed wherever the map runs out.

03Architecture

A closed loop, from motor to mission.

NODE_01

Drone

The airframe and actuation layer — the physical interface to the world.

NODE_02

Camera

Stereo and depth sensing that replaces GPS as the primary reference.

NODE_03

SLAM

Simultaneous localization and mapping, built in real time with no prior map.

NODE_04

Localization

Continuous position estimation inside an unmapped, GPS-denied space.

NODE_05

Navigation

Path planning and obstacle avoidance through unknown terrain.

NODE_06

Mission Planning

Autonomous task sequencing from takeoff to reported exit.

NODE_07

Detection

Identifying and tagging points of interest inside the environment.

NODE_08

Ground Station

Mission telemetry and reporting, back to the human operator.

04Mission Control

Every mission is proven in simulation first.

The current objective: a complete, repeatable NIDAR simulation run — mapped, navigated, and reported end to end.

Occupancy Map — Representative Simulation UI
Simulation Stack
PX4
ROS2
Gazebo
RViz
NIDAR Simulation Progress0%
Mission Log
05Research

Active research programs beyond NIDAR.

PGM_01
Vision Language Models
Natural-language mission understanding for aerial autonomy.
PGM_02
Camera-Only Navigation
Removing dependence on LiDAR for lightweight, low-cost autonomy.
PGM_03
Indigenous Telemetry
Low-latency, resilient links engineered for degraded-signal spaces.
PGM_04
Semantic Mapping
Maps that understand what a space is, not only its geometry.
PGM_05
Custom Flight Controller
Domestically designed hardware for full-stack sovereignty.
PGM_06
Swarm Intelligence
Coordinated multi-agent behavior in shared GPS-denied space.
PGM_07
Edge AI
Onboard inference with no dependency on ground compute.
06Organization

Three divisions. One mission.

FounderKaalkrit Robotics

Autonomy Engineering

  • Perception
  • SLAM & Mapping
  • Mission Planning

Hardware Engineering

  • Flight Controller
  • PCB & Systems

Operations & Growth

  • Partnerships
  • Communications
07Roadmap

Where we are. Where we're going.

Hover a stage for detail.

Simulation
Complete

Core pipeline validated in Gazebo and RViz.

Prototype
In Progress

Hardware integration and first physical test flights.

NIDAR
Upcoming

Public demonstration at the NIDAR AirMouse Competition.

Funding
Upcoming

Seed round to scale the engineering team.

Hardware
Upcoming

Indigenous flight controller and sensor integration.

Research
Upcoming

Opening the platform to academic and industry partners.

Commercial Product
Upcoming

First deployment of the autonomy platform beyond the lab.

08Partnership

Join us in building India's autonomous robotics future.

This is not a sponsorship ask. It's a partnership in indigenous autonomy research.

Partner With Us Schedule a Meeting
The future of autonomous robotics
will not be imported. It will be engineered.
KAALKRIT