Aswin Chandarr Contact
Editorial portrait of Dr. Aswin Chandarr

Dr. Aswin Chandarr · Engineering leader, robotics & Physical AI

Most robots never leave the lab. I've taken mine into hospitals, homes, warehouses and onto public roads.

I've worked on more than ten diverse robotic systems and shipped four of them, built from scratch, into certified, field-hardened production, owning the whole stack from actuator and controller design and motion control up through perception, SLAM, VLA and embodied learning. Shipped and certified, not demoed. The rare engineer-leader who can debug a CAN bus at 2 a.m. and set the AI roadmap the same week.

Eighteen years at the frontier — building humanoids and autonomous vehicles when almost no one else was.

Work with me Read the book

Key facts

  • 18 yrs

    in robotics

  • 10+

    real-world robots worked on

  • 4

    built from scratch to production

  • 3

    startups co-founded

  • 6

    patents

  • 12

    publications

  • PhD · MBA

    TU Delft · business

  • CE / medical-device certified
  • Early NVIDIA DrivePX partner
  • World-first adaptive tunnel-milling robot
  • Author, Inevitable AI

Core attributes

  • Full-stack ownership

    actuator & controller design → perception → VLA / embodied AI

  • Concept to field

    certification, reliability, field operations, not just demos

  • Two eras of robotics

    the classical stack and the Physical AI stack; few people work in both

  • Hands-on and strategic

    debugs the hardware, sets the roadmap

01 — Eighteen years of robots

Every robot I've developed, architected, delivered and worked with.

2009–2025 · humanoids, autonomous shuttles, hospital systems, industrial arms in tunnels — plus a book. The full inventory, in chronological order.

  • Tulip — TU Delft Robocup humanoid soccer · with Prof. Pieter Jonker
    Research 2009–2012

    Tulip

    TU Delft Robocup humanoid soccer · with Prof. Pieter Jonker

    Early predecessor of modern humanoid programs — bipedal control, perception-action loops, team play.

  • All Terrain Robot DFKI — Researcher
    Research 2009

    All Terrain Robot DFKI

    Researcher

    Simultaneous Wheeled Legged Robot (SWLR) for outdoor inspection and surveillance. Motion Planning

  • PhD — Cognitive Robotics — TU Delft · Jonker / Rudinac
    Research 2012–2016

    PhD — Cognitive Robotics

    TU Delft · Jonker / Rudinac

    Doctoral work on perception, learning, and human-aware behavior on real platforms.

  • LEA — Co-founder, Robot Care Systems (NL)
    Built end-to-end 2014–2019

    LEA

    Co-founder, Robot Care Systems (NL)

    Elderly walking & companion robot. CE / medical-device track.

  • WePod — RRC Robotics / TU Delft · Tech architecture & multi-sensor fusion
    Built end-to-end 2016–2018

    WePod

    RRC Robotics / TU Delft · Tech architecture & multi-sensor fusion

    Public-road autonomous shuttles. Among the first to deploy NVIDIA DrivePX in production.

  • REEQ AGV — Advisory · Autonomy · REEQ (NL)
    Consulting 2018

    REEQ AGV

    Advisory · Autonomy · REEQ (NL)

    Autonomy advisory for a rugged electric off-road AGV — sensing, navigation, and drive-by-wire for unstructured terrain.

  • Indoor Security Robot — Technical Business Manager ·Jonker Makis Robotics (NL)
    Improvement 2018–2019

    Indoor Security Robot

    Technical Business Manager ·Jonker Makis Robotics (NL)

    Indoor mobile security robot for warehouses and large office spaces.

  • SAM-UVC — Founding CTO, Loop Robots (NL)
    Built end-to-end 2021–2023

    SAM-UVC

    Founding CTO, Loop Robots (NL)

    Autonomous UVC hospital disinfection. 3 published patents on architecture, dosage mapping, mixed-mode autonomy.

  • The Inevitable AI — Author · published via GAITI
    Writing 2023

    The Inevitable AI

    Author · published via GAITI

    A first-principles guide to AI for the people who have to decide — professionals, enterprises, investors, founders, policy makers.

  • Hubertustunnel — Advisory · Grimbergen Industrial Systems · Den Haag
    Consulting 2024–2025

    Hubertustunnel

    Advisory · Grimbergen Industrial Systems · Den Haag

    World-first adaptive milling robot. 26,000 m² resurfaced at ±5 mm with real-time scan-based path planning.

  • RIA — Head of Engineering & Product · Machani Robotics
    Improvement 2025–

    RIA

    Head of Engineering & Product · Machani Robotics

    Research humanoid in the Sophia lineage. VLA for dynamic HRI, social understanding, trust building.

  • CC — Cognitive Companion — Head of Engineering & Product · Machani Robotics
    Built end-to-end 2025–

    CC — Cognitive Companion

    Head of Engineering & Product · Machani Robotics

    Desktop product that ports RIA's social abilities into a market-ready form. 0→market in 6 months.

02 — Capabilities

Boardroom to bare metal — I own every layer.

Strategy to silicon: the full robotics stack, owned end to end.

  1. 01

    Strategy & Leadership

    technology & research strategy · product & platform roadmapping · risk management · make-or-buy · aligning finance, commercial & technology roadmaps · P&L ownership · team building & mentoring (ME/EE/SW/AI) · board, investor & customer communication

  2. 02

    Physical AI & Learning

    VLA · imitation learning · diffusion policies · reinforcement learning · foundation-model fine-tuning · world models · sim-to-real · synthetic-data strategy

  3. 03

    Planning, Control & Manipulation

    motion planning · trajectory generation · robot control (PID, MPC) · manipulation & grasping · loco-manipulation · visual servoing

  4. 04

    Perception & State Estimation

    computer vision · 3D vision · multi-sensor fusion (camera, LiDAR, radar, IMU) · SLAM · localization & mapping · calibration

  5. 05

    Hardware & Low-Level

    motor / actuator control (BLDC, stepper, servo) · controller design · electronics · embedded C / RTOS · CAN bus · real-time systems

Runs across the stack

ROS / ROS 2 · NVIDIA Isaac Sim · digital twin / HIL · safety & certification (CE-MDD, IEC 60601) · cloud & fleet · MLOps

03 — Press, Interviews, Talks & Awards

Press, interviews, talks & awards.

Red Dot Award

Red Dot Award

Red Dot Award 2019 — LEA, Product Design

International design award for LEA, the elderly walking & companion robot (Robot Care Systems).

View →
Frontlist

Frontlist

Interview: The Inevitable AI

On generative AI, job displacement, and the "mental power multiplier" argument.

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Swarajya Magazine

What's Next for Governments in the Age of AI

Byline on how governments shift from AI observers to active participants.

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Governance Now

Governance Now

How AI Can Revolutionise Governance

Book excerpt on AI-embedded government operations.

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ImpactNews

ImpactNews

Book Extract: The Inevitable AI

On GANs, creativity, and critique — from the book's framework chapters.

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Silicon Canals

Silicon Canals

Loop Robots Raises €1.69M Seed Round

Co-founder & CTO — automating hospital-grade UV-C disinfection.

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Bits&Chips

Bits&Chips

Loop Robots Cleans Up With a $2M Seed Investment

Follow-on coverage of the seed round, led by Nanotech Ventures.

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Firstpost

Firstpost

A Clear and Present Challenge: Getting Gen-Next Ready for Generative AI

Opinion piece on preparing the next generation for an AI-driven world.

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IndiaCafe24

Author Aswin Chandarr — The AI and Cognitive Robotics Expert

Long-form interview on the path from TU Delft bio-robotics research to shipped products.

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SheThePeople

SheThePeople

Book Excerpt: Inevitable AI

On what "intelligence" means, and why that makes AI hard to define.

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The Hans India

The Hans India

AI Revolution: Aswin Chandarr's Lens on Insights & Opportunities

Sunday Hans interview feature on AI’s impact on work, education, and inequality.

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Instant Publish

Instant Publish

Decoding AI with Aswin Chandarr's Book

Book feature on Inevitable AI.

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YouTube · Stardom

YouTube · Stardom

Exclusive Author Interview — The Inevitable AI

Video interview on the book’s core thesis.

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YouTube · Books wale Bhaiya

YouTube · Books wale Bhaiya

Artificial Intelligence and Our Future

A talk with AI expert Aswin Chandarr on AI’s trajectory.

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YouTube · Global HR Community

YouTube · Global HR Community

GHRC Talk Show: Beyond Automation

How AI and decision science are transforming HR — Ep. 1.

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YouTube · The iRonik Show

YouTube · The iRonik Show

Danger of AI

On AI, ChatGPT, robots, and the future of jobs — Ep. 64.

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YouTube · GoaChronicle

YouTube · GoaChronicle

Inevitable AI: Art of Growth with Generative Intelligence

Book feature on Inevitable AI.

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Kalinga Literary Festival

KLF Bhava Samvad — In Conversation with Rajesh Talwar

Author conversation on Inevitable AI, livestreamed by the festival.

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04 — Impact

The public record.

Patents, awards, funding, hospital validations and peer-reviewed research behind the robots — each tile links to the original source.

patent filings
6
patent filings
granted U.S. patent
1
granted U.S. patent
commercial robots built
4
commercial robots built
Product Design 2019
Red Dot
Product Design 2019

Full evidence record, organised by criterion →

05 — How I lead

Small teams, full ownership, shipped on time.

I've built multidisciplinary teams from founding through scale-up — Robot Care Systems grew to 35 people across mechanical, electronics, software and clinical work. Since then I've run small, senior teams of 10–15, the size where every engineer touches hardware, and they've shipped certified products and taken a companion robot from concept to market in six months.

  • Own the whole system.

    A robot fails at its weakest layer, so I take responsibility for all of them — from motor electromagnetics to the business case.

  • Build, fail, build again — on real hardware.

    Robotics judgment only comes from things breaking in the lab and in the field. My teams test on physical robots every week; that foresight is what buys iteration speed.

  • Strategy through to on-time delivery.

    I turn a hard problem into a clear roadmap, tie it to P&L and customer value, and then execute until it ships — on schedule.

  • Lead inside the team, not above it.

    I've led engineers, scientists and designers across the Netherlands, Japan, the US and India, and I stay close enough to the work to debug it myself.

06 — Thesis

Read the detailed analysis →

Best seen on widescreen

Physical AI is the next decade's most consequential shift — and it isn't going to ship itself. Most labs write papers. Most operators scale software. Very few have spent eighteen years where the demos meet the loading dock. My career spans both eras: I built robots on the classical stack for a decade, and I'm building them on the Physical AI stack now. The bridge between them is where I work.

At Machani Robotics, the frontier is VLA for social understanding, trust building, and dynamic behavior — the parts of embodied AI that benchmarks don't measure and demos don't show. Different robots, one job: building machines that work the day after the demo.

07 — Shipped in the wild

Three pillars. One job: make Physical AI work outside the lab.

Care robots, autonomous mobility, industrial & infrastructure. Different domains, same hard problem — reliability, safety, and human interaction under conditions that can't be faked.

Pillar 01

Care & human-centric robotics

LEA — elderly walking & companion robot

Co-founder, Robot Care Systems · The Netherlands · 2014–2019

Co-founded RCS to take LEA from a TU Delft research prototype into a CE / medical-device-track product for older adults living independently. LEA physically supports walking, reminds, calls for help, and keeps a presence in the home. Built the technical organization, led integration of safety, UX, motor control, and regulatory pathway.

Making LEA safe meant working every layer myself: I redesigned the hub motor, developed a new control algorithm on the embedded controller, designed a handlebar that senses push direction in two axes while rejecting the user's weight on the vertical axis, added redundant sensors for failsafe operation, and closed the loop with obstacle avoidance and fall prevention. One product, touching electromagnetics, control, sensing, safety and human behaviour at once.

Aswin Chandarr with LEA on exhibit at the Red Dot Design Museum

SAM-UVC — autonomous hospital disinfection

Founding CTO, Loop Robots · The Netherlands · 2021–2023

Founded Loop Robots and shipped SAM, an autonomous mobile UVC robot deployed in hospitals to map dosage and disinfect wards between procedures. Took the product through clinical pilots, dosimetry validation, and modular-accessory design for varied hospital floor plans.

  • US20250319221A1 · UVC site disinfection
  • US20240252703A1 · Modular service-robot architecture
  • WO2024105448A8 · Mixed mode (auto + manual)

Pillar 02

Autonomous mobility in the real world

WePod — autonomous public-road shuttles

RRC Robotics / TU Delft · The Netherlands · ~2016–2018

Technical architecture, hardware/software integration, and multi-sensor fusion (camera, radar, LiDAR) for the first generation of WePod fixed-route autonomous shuttles. Operated routes between Schiphol Airport and its parking lots, the Wageningen University campus, and the Rotterdam metro–airport corridor — carrying real passengers under public-road conditions.

Among the first developers to deploy NVIDIA DrivePX in production, with direct technical feedback into NVIDIA's autonomy stack. Owned safety case, technical product management, and field-ops integration.

Schiphol autonomous tugbot

RRC Robotics · Research & feasibility

Feasibility and prototype work for an autonomous ground tug for airline ramp operations at Schiphol — moving baggage trains and equipment without a human driver, around active aircraft.

Pillar 03

Industrial & infrastructure

Adaptive milling robot in the Hubertustunnel
Supported the work done by Grimbergen/Vlasman @ The Hague

Hubertustunnel — adaptive milling robot

Advisory, Grimbergen Industrial Systems · Den Haag · 2024–2025

Co-architected an adaptive 6/7-axis milling robot on tracks for Vlasman B.V. / Strukton, contracted by the City of The Hague. Real-time scan-based path planning across the entire tunnel surface — no pre-programmed paths. The robot resurfaced the safety coating across 26,000 m² / 3,120 panels / 1,800 m of tunnel at ±5 mm precision. A world-first ("primeur") for tunnel renovation.

Public case study →

08 — Now

Machani Robotics — RIA & CC.

As Head of Engineering & Product at Machani Robotics (Bengaluru), I lead two paired platforms: RIA, a research humanoid in the lineage of Hanson Robotics' Sophia, and CC — the Cognitive Companion, a desktop product that ports RIA's social and cognitive abilities into a compact, deployable form factor. CC went from concept to market in six months.

CC — Cognitive Companion

CC is the deployable form of the same intelligence — a desktop companion for older adults that handles conversation, reminders, gentle escalation, and a quiet, durable presence in the home. Soft launch is live at cc.sonacares.com.

RIA — research humanoid

RIA research humanoid, continuation of the Sophia lineage

RIA continues the Sophia lineage into the VLA era. Where Sophia drove public discourse about social robotics on a scripted stack, RIA does the work behind that conversation: dynamic human–robot interaction grounded in a Vision-Language-Action policy. It is our research platform for the harder questions in embodied social intelligence — and the proving ground for everything we then port into CC.

The VLA work, in three lines

Social understanding

Inferring what the human in front of the robot actually wants — affect, intent, attention, conversational state — and grounding it in the physical context of the room. Models a person, not a prompt.

Trust building

Trust as a longitudinal property, not a single interaction. The robot earns the right to be in the room over days and weeks — predictable behavior, calibrated honesty about what it knows, graceful failure, durable memory of the person it serves.

Dynamic behavior

Acting fluidly in a moving world: a person changes posture, looks away, walks behind, leaves the room and returns. The behavior policy is closed-loop on perception, not a scripted dialogue tree — the difference between a demo and a deployment.

Patents filed at Machani

Three patents filed; under embargo.

Filed alongside the work, not after. Tracks the same architecture that ships in CC.

  • Embodied AI — VLA architecture for socially-grounded action
  • Deep personalization — long-horizon memory & preference modeling
  • Proactive care — initiative, escalation, and safe handoff
Visit CC →

09 — The book

The Inevitable AI book cover

The Inevitable AI
Art of Growth with Generative Intelligence

A first-principles guide to AI — where it came from, what it can and can't do, where the real opportunities and dangers sit. Written for the people who actually have to decide: professionals, enterprises, investors, founders, policy makers.

Buy on Amazon Read a sample chapter Bulk / training orders

10 — Writing, speaking & media

The gap between AI research and the systems people actually live with.

I write and speak for technical and non-technical audiences when I have something I haven't seen said. Topics I'm currently working on:

The Physical AI stack

What changes when robots learn the way LLMs do — and what doesn't.

Research-to-product

How to take embodied-AI research out of the lab without losing the science.

The economics of care robots

Why elderly-care and hospital robotics are the first real consumer markets for embodied AI.

Foundations of the Inevitable AI

The argument from the book, adapted for boards, investors, and operating teams.

Panels & speaking

Book a talk Press & podcast inquiries Read the archive →

11 — Advisory

Selected advisory work on hard robotics problems.

I've advised Physical AI startups and industrial teams on architecture and roadmap, research-to-product translation, regulatory pathways (medical device, public-road autonomy, industrial safety), and technical due diligence.

Architecture & roadmap

VLA, embodied learning, classical-stack integration, sensor strategy, the build/buy line.

Research-to-product translation

Turning a lab demo into something a customer renews.

Regulatory & deployment

Medical-device pathway, public-road autonomy, industrial safety.

Technical due diligence

For funds evaluating robotics, embodied AI, or applied-research bets.

12 — Contact

Best way to reach me is email. I read every message; I reply to most.

For executive search, board, or investor outreach: send the role, the company, and the timeline in the first email. I'll come back within five business days.