Cobotory
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COBOTORY — FULL-CYCLE ROBOTICS R&D

Sensing and intelligencefor humanoid and mobile platforms

We build the perception layer and the brains for robots: tactile skin, edge vision and ROS 2 autonomy. The platform already drives, the skin already senses shear — ready to scale and to license.

Shear

Tactile shear sensing

AX650

Edge perception

ROS 2

Autonomy

104

World record

TACTILE SKINSHEAR SENSINGEDGE VISIONAXERA AX650ROS 2SDK WITHOUT NDAAUTONOMOUS PLATFORMSHUMANOID KINEMATICSTACTILE SKINSHEAR SENSINGEDGE VISIONAXERA AX650ROS 2SDK WITHOUT NDAAUTONOMOUS PLATFORMSHUMANOID KINEMATICS

Cobotorydoesn'tbuildthewholerobotitbuildswhatmakesarobotsmart:thesensingandthesoftware.

A picks-and-shovels strategy: a component supplier at home, a technology licensor abroad — the IP travels without shipping hardware. The team grows out of the Robozum Academy network: a steady pipeline of engineers and a testbed for our methods.

Flagship — tactile skin

A skin that feels shear

Our silicone tactile skin measures temperature and tactile shear — slip detection during a grasp. It closes a recognized bottleneck in humanoid manipulation that pressure-only sensors cannot address.

Shear · Temperature

MaterialSilicone
MeasuresTemperature + shear
SolvesSlip detection during grasping
Market~$4B (2025) → ~$8.4B (2030)
ModelTechnology licensing for export

Our primary export-licensable asset. Ships as IP — no hardware export, no sanctioned supply chains.

01 — Technology

Engineering core

Every node — from the low-level controller to the tactile sensor and the multimodal model — is designed and built in-house.

T-01

ROS 2 Stack

Fault-tolerant control architecture on ROS 2: from actuator drivers to high-level behavior planning.

T-02

Ackermann Steering · 4WS

Ackermann and 4WS steering — accurate trajectory following at speeds out of reach for differential platforms.

T-03

Multimodal AI

Multimodal AI models: the machine sees, understands context and decides for autonomous navigation in the real world.

T-04

Biomorphic kinematics

Complex kinematic models of anthropomorphic systems — the foundation of the humanoid transformer project.

Perception · brains

Edge perception on Axera AX650

Edge vision and tactile feedback in a single module: the robot sees, feels contact and reacts locally, no cloud. A full SDK with no NDA — the right to freely build and sell products on our platform.

  • 01Edge vision + tactile feedback in one module
  • 02Full SDK, no NDA — no legal barriers
  • 03Reactive eyes: the robot looks at the person and toward the maneuver

Autonomy architecture

01

Perception

Cameras · tactile skin · lidar

02

Cognition

Multimodal models · AX650

03

Planning

ROS 2 · behavior

04

Actuation

Ackermann · 4WS · servos

02 — Products

A platform that already drives

Platform field testing

Production-ready · Commercialization

SigmaCC

Sigma Cyber Car

An autonomous wheeled platform — the evolution of Autonomous Vehicle Generation X. A finished product for academia, research labs and integrators: ROS 2, operator-free navigation, 4WS steering.

SteeringAckermann · 4WS
Operating systemROS 2
PerceptionEdge vision + tactile
AutonomyOperator-free navigation
Form factorPlatform / DIY kit
StatusReady for series production
UniversitiesR&D labsIntegrators

Contract R&D delivered · IP registered · project #85756

AI monitoring of assembly-line operations

A hardware-software complex that monitors personnel operations on a conveyor line, assists in real time and prevents incidents — contract R&D backed by the Innovation Assistance Fund, with the resulting IP registered. Today Cobotory works with industrial enterprises: delivering R&D to customer requirements while growing its own intellectual-property portfolio.

  • 01Real-time recognition of operator hands and objects on the line
  • 02Multimodal assistance and a decision-support system
  • 03Registered IP · contract R&D for industrial enterprises

28–32 fps

Real-time recognition

0.8 km/h

Line speed during trials

IP

Rights registered

R&D for industry

We solve your problem as contract R&D

Contract research and development for industrial customers — with trials, full documentation and transfer of the resulting IP.

01

Turnkey contract R&D

From requirements to a working prototype: hardware, software, trials and transfer of the resulting intellectual property to the customer.

02

Computer vision on the factory floor

Manual-operation control, object and incident recognition on the line in real time — on edge devices, no cloud, no data leaving the site.

03

Platform autonomy

Sensing, navigation and autonomous motion for the customer's wheeled vehicles: ROS 2, SLAM, tactile sensors, hub motors.

Discuss your task

Case — hub motor wheel

Hub motor wheel with indication

An integrated in-hub motor wheel with built-in status lighting: a single module delivers traction, maneuvering and clear feedback to the operator and the people around.

01Hub motor: status indication
02Drive and lighting in action

Type

In-hub motor wheel

Indication

Built-in status LED lighting

Purpose

Traction + maneuver signaling

Integration

ROS 2 · driver inside the hub

03 — Roadmap

Scaling strategy

  1. Phase 0 · Done

    Scientific foundation

    Consolidating the Robozum Academy educational infrastructure. Early R&D complete, engineering methods proven.

  2. Phase 1 · Done

    Product ready

    SigmaCC brought to commercial readiness, the tactile skin senses shear, perception runs on AX650. The platform is validated by testing.

  3. Phase 2 · In progress

    Round and scale-up

    Raising capital: series production, bulk component sourcing, and licensing the tactile skin for export.

  4. Phase 3 · Ahead

    Alliance with Delion

    Integration with a strategic driverless-transport partner: a path for Cobotory platforms into federal-scale infrastructure projects.

  5. Phase 4 · Ahead

    Humanoid platform

    Bringing the anthropomorphic transformer to market: a reinforced R&D team, biomorphic kinematics, tactile manipulation.

R&D chronicle

Shot during the work, unstaged

01Cobotory manipulator at a public opening ceremony
02Autonomy testbed: trajectory following
03Runs on the test track
04Real-time SLAM and telemetry
05Visualization stack: the platform's digital twin

04 — Team

Proven by results, not by slides

Proven in competition

104 discs

World record — strength feat on the OP3 platform

FIRA

World robotics champions

U19

Football: the only ones to score a goal

Marathon · archery

Humanoid platform disciplines

MG

Mikhail Granatov

Founder · CTO

  • Member of the FIRA technical committee (Federation of International Robot-sports Association), co-author of international competition regulations
  • Years of designing robot control systems, the ROS 2 stack and complex kinematic models
  • Administration of fault-tolerant open-source development infrastructure
  • Mentor of FIRA international robotics champions
AM

Andrey Makarov

Scientific director

  • Physics faculty of Chelyabinsk State University; entrepreneur
  • Head of a robotics team since 2018 — repeated winners and medalists of Russian and world competitions
  • The team specializes in humanoid robot football
  • Leads development of robotic camera and sensor control modules
MD

Mikhail Dyshaev

Research scientist · PhD (Phys.-Math.)

  • PhD in physics and mathematics: physics, finance and credit, postgraduate research
  • Mathematical modeling, solution architecture, decision-support systems
  • 20+ years in finance: risk management, algorithmic trading, financial mathematics
  • Publications: RSCI — 36, Scopus — 9, WoS — 4; RFBR and Innovation Assistance Fund projects
GS

Grigory Sizikov

ROS 2 · SLAM engineer

  • ITMO University, Robotics and Artificial Intelligence
  • ROS / ROS 2, C/C++, Python; SLAM, navigation and path planning; lidars, RGBD cameras, IMU
  • FIRA RoboWorld Cup 2024 (Brazil): 1st and 2nd places — Autonomous Cars Physical PRO and Technical Challenge PRO
  • INNOPROM 2021: an autonomous guide robot that navigated the pavilion on its own

05 — Investors

The window is open now

Early R&D is complete and the product is ready to commercialize. At this stage capital converts directly into sales scale-up, skin licensing and faster R&D.

01

Tactile skin licensing

Turning the silicone shear-sensing skin into a licensable package and entering the international tactile-sensor market (~$8.4B by 2030).

02

Platform scale-up

Series production of SigmaCC and bulk sourcing of AX650 compute, lidar and sensors — lowering unit cost.

03

Strengthening the R&D team

Senior Computer Vision, ROS 2, embedded and tactile-sensor engineers — accelerating the humanoid platform to market.

Talk to the founders

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06 — Careers

Building robots that change the rules

We look for engineers ready to work at the edge of current technology — from controller firmware to a humanoid's tactile manipulation.