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WELCOME TO QUANROBOTICS

INTELLIGENCE FOR ROBOTS

WELCOME TO QUANROBOTICS

INTELLIGENCE FOR ROBOTS

PERCEIVE
DEPLOY
Upcoming eventSave the date Physical AI Convention 2026 14–15 Nov · ICTU, Thai Nguyen
Robotics intelligence · simulation · perception · robot data

We build the intelligence layer for robots.

QuanRobotics develops the software, simulation, data and AI systems that help robots perceive, learn, test and operate in real environments.
Discover QuanRobotics
Built across:
Upcoming event QuanRobotics × AI Innovation and Research Center at ICTU 21.6° N · 105.8° E · Thai Nguyen, VN
14–15 November 2026 · ICTU Campus

Physical AI Convention 2026

From Research → Real-World Robotics

Two days connecting Physical AI research, academia, industry and real-world engineering. Day 1 launches the AI Research and Innovation Hub powered by QuanSkill × ICTU, with keynotes, invited talks, technical discussions and industry perspectives. Day 2 moves from ideas to implementation through hands-on Physical AI and robotics workshops.

Dates
14–15 Nov 2026
Saturday & Sunday
Venue
ICTU Campus
Thai Nguyen, Vietnam · ~80 km north of Hanoi
Hosted by
QuanRobotics × ICTU
AI Innovation and Research Center
Convention opens in
--Days
--Hrs
--Min
--Sec
Happening now
Day 01 · Saturday 14 Nov

Innovation Hub Launch + Physical AI Convention

Launch · Connect · Discuss
  • Official AI Research and Innovation Hub launch
  • Keynote & invited research talks
  • Industry & technical talks on Physical AI
  • Academia × Industry panel discussions
  • QuanRobotics technical demonstration
  • Research & collaboration forum + networking
Day 02 · Sunday 15 Nov

Hands-on Physical AI & Robotics Workshops

Build · Test · Learn
  • Mobile robotics & embedded systems
  • Sensors, motors & robot control
  • ROS 2 & robotics software
  • Simulation & sim-to-real workflows
  • Computer vision & robot perception
  • Edge AI, robot data & evaluation
  • Physical AI system integration
  • Team engineering challenges & demos
Launching Day 01

AI Research and Innovation Hub

Powered by QuanSkill×ICTU

A long-term platform connecting applied AI and robotics research with students, faculty, industry problems and international collaboration — the start of a lasting Physical AI ecosystem, well beyond 15 November. Speakers are announced progressively; register interest to hear first.

Who should attend
AI & robotics researchers Faculty & research labs Robotics engineers Industry leaders Deep-tech founders UG, graduate & PhD students Universities seeking collaboration
Physical AIEmbodied intelligenceAutonomous systemsROS 2 Simulation & digital twinsSim-to-realRobot perceptionRobot data Edge AIBenchmarkingSafety & validationHuman-robot interaction University × Industry

WHO WE ARE

Robotics software, not robot bodies

We focus on the intelligence, simulation and software layers that can work across different robot platforms.

Research that becomes usable systems

We turn technical ideas into reusable code, datasets, benchmarks, simulations and working proof-of-concepts.
  • Simulation
  • Perception
  • Robot Data
  • Evaluation
01
Robotics Software Layer
Open Robotics Infrastructure
02
Computer Vision for Robotics
Computer Vision for Robotics

WHAT WE BUILD

Four connected engineering areas

Simulation, perception, robot data and infrastructure designed to work together.

Designed to travel across platforms

Build once, adapt across robots, sensors, simulators and deployment environments.
01
Edge AI Deployment
Simulation & Digital Twins
02
ROS 2 Direction
Perception & Edge AI
03
Gazebo Simulation
Robot Learning & Data
04
Isaac Sim Workflows
Open Robotics Infrastructure
Four connected areas form the core: simulation, perception, robot data and open robotics infrastructure.

Four flagship project families

FLAGSHIPPROJECTS

Four Flagships
4

BUILT IN PUBLIC

QuanRobotics robotics intelligence
Open-source software that others can inspect, reuse and extend.
We focus on the robotics software layer: the intelligence ab
GitHub repositories with clear architecture, tests and reproducibility.
Computer vision gives robots eyes: detection, tracking, segm
Public datasets and model checkpoints with documented baselines.
Edge AI brings models closer to the robot for faster, safer
Simulation environments and digital-twin proof-of-concepts.
ROS 2 is the direction for modular robot communication, cont
Research papers, technical reports and reproducible experiments.
Gazebo and Isaac Sim help test robots in simulation before t
Working proof-of-concepts with benchmarks, demos and known limitations.
Digital twins turn factories, labs and robots into safe virt
Contributions to established robotics open-source projects.
World models and robot learning help robots predict, plan an
University and research partnerships that create active contributors.
Industrial robotics training prepares learners for automatio
A technical portfolio ready for institutional and industry projects.

WHERE IT APPLIES

Real environments. Testable outcomes.

Robot Brain Planning and control

Warehouse Digital Twin

Simulation + operations
Facility simulation, AMR flow, congestion analysis, route optimization and safety scenarios.
Robot Eyes Computer vision

Industrial Inspection

Perception + edge AI
Inspection models, synthetic data, machine-vision testing and edge deployment for industrial environments.
Edge Deployment On-device intelligence

Robot Learning Benchmark

Policies + evaluation
Reproducible environments for policy evaluation, failure analysis, closed-loop testing and sim-to-real benchmarks.
Simulation Layer Gazebo + Isaac Sim

Robotics Simulation Lab

Shared infrastructure
Reusable ROS 2 and simulator infrastructure for universities, research institutes and innovation centers.
Digital Twin Virtual operations

Industrial AI Testbed

Validate before deployment
A test environment for synthetic data, inspection-model evaluation, robotics integration and edge deployment.

HOW WE WORK

Build, validate, publish, prove, partner.

01 — Build Openly

Open source • GitHub • Documentation
Robotics Foundations

Release reusable software, datasets and tools with clear documentation, tests and contribution pathways.

02 — Validate Technically

Benchmarks • Tests • Reproducibility
ROS 2 Systems

Measure performance, document limitations and make results reproducible across environments.

03 — Publish Research

Experiments • Reports • Preprints
Robot Vision

Connect research to code, data, benchmarks and public technical evidence.

04 — Develop POCs

Simulation • Integration • Demos
Simulation

Combine project modules into working demonstrations with architecture, metrics and implementation evidence.

05 — Establish Partnerships

Universities • Labs • Industry
Edge AI

Use credible technical outputs to build research, university and industry relationships.

06 — Pursue Institutional Projects

Government • Industry • Public sector
Industrial Automation

Enter major projects with working demonstrations, published evidence, partners, budgets and implementation plans.

FAQ

Most Common Questions

Clear answers about our software, research, projects and contributor model.

What is QuanRobotics?

What does QuanRobotics build, and do you manufacture robot hardware?

What are QuanRobotics' core technical focus areas?

What are QR-Sim, QR-Perception, QR-RobotData and QR-WorldBench?

How does QuanRobotics move research toward real deployment?

Who can contribute to or collaborate with QuanRobotics?

How does QuanRobotics approach internships and talent development?

RESEARCH & ENGINEERING NOTES

Contact QuanRobotics

Let’s build useful robotics software.

Share a project, research, partnership or careers inquiry. We review submissions at Letsbuild@quanrobotics.org.

Direct email Letsbuild@quanrobotics.org
  • Robotics software, ROS 2, simulation and digital twin projects
  • Robot perception, Edge AI and research collaboration
  • University, laboratory and institutional partnerships
  • Open-source contribution and careers

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