Independent Research · Leesburg, Virginia

Engineering theFuture of Walking

ExoLab is a solo R&D lab run by Greg Klassen — a 30-year DSP engineer, retired CEO, and SCA3 patient — dedicated to building open exoskeleton control systems for neurological mobility conditions.

Real hardware. Real code. Real stakes.

PHASE 4 TARGET
↗ Real-world exoskeleton walking · What ExoLab is building toward

A DSP Engineer Who Needs an Exoskeleton

Greg Klassen spent three decades in digital signal processing — designing real-time filter architectures, tuning PID loops, and building embedded control systems from the ground up. He then spent years as a CEO, before a diagnosis of Spinocerebellar Ataxia Type 3 (SCA3) changed the plan.

SCA3 is a progressive neurological condition that attacks coordination, balance, and gait. Commercial exoskeletons exist — but none are designed for cerebellar ataxia, where the challenge is balance, not paralysis.

So Greg is building his own. Working from a six-acre property in Leesburg, Virginia, ExoLab is a one-man R&D operation applying 30 years of signal processing expertise to the hardest problem Greg has ever faced: getting himself back on his feet.

The lab pursues three goals simultaneously: personal mobility research, rigorous open documentation of the build process, and informed engagement with the commercial and investment exoskeleton landscape.

Current status: Phase 1 hardware on order. CubeMars AK80-9 actuators inbound. Software stack under development.

Mission clock — time remaining to walk often
—————— min
days
hours
seconds
Target: December 31, 2027 — walk to the mailbox. Walk on a Tuesday. Dance.
Roadmap · 2026–2027

Five phases to walking often.

Getting Greg walking with a commercial exoskeleton by end of 2027, while building Layer 1/2 control intelligence for ataxic gait that doesn't yet exist. The personal test case drives the research.

I
Evaluate In progress · May–Aug 2026

Map the landscape before committing money or direction. Understand what's available, what's missing, and where the biggest contribution gap sits.

  • Inventory commercial exoskeletons — MMI access, programmability, SCA3 fit
  • Explore funding: Medicare/insurance (currently SCI-only), NIH SBIR/STTR, NSF, DARPA, National Ataxia Foundation
  • Determine whether Layer 1 intent detection is solved for ataxic gait (answer: it is not)
  • Establish community presence — IROS 2026 (Pittsburgh), OpenExo GitHub, NAF network, Shirley Ryan AbilityLab
  • Decide role: developer, investor, or hybrid (leaning: hybrid, primary developer)
Device Maker Intent Interface SCA3 Fit
ReWalk 7 Lifeward Wrist control + tilt sensor; cloud-connected; stairs/curbs Requires reliable lean mechanics
Indego Personal Ekso Bionics Center-of-pressure at hip; modular; no stairs Moderate — passive initiation helps
Atalante X Wandercraft Fully autonomous balance — hands-free, no crutches; AI-driven gait generation Strong candidate — removes crutch dependency, critical for ataxia
Eve Wandercraft Self-balancing personal exo — NVIDIA Jetson AI, no crutches, 5-session onboarding; home & community use Highest relevance — personal/home device targeting neurological gait, ~2026 FDA filing
HAL Cyberdyne Surface EMG — reads bioelectric intent signals from skin Best theoretical fit for ataxic gait
OpenExo NAU / U Mich (OSS) Fully programmable (Teensy 4.1 + Arduino Nano 33 BLE) R&D platform — Layer 1/2 dev target
II
Answer & Plan Aug–Dec 2026

Convert Phase I questions into decisions. Secure clinical access. Define the R&D scope. Build the funded plan.

  • Clinical evaluation at certified exoskeleton center (Sheltering Arms, Richmond VA or JHU affiliate) — establishes candidacy and research protocol access
  • Device access strategy: clinical research protocol (preferred) vs. personal purchase (~$100–200K)
  • Grant proposal(s) submitted — SCA3 + ataxic gait control is an underserved intersection
  • ExoLab Layer 1/2 scope defined: gait parameters to instrument, control architecture to prototype
  • Development environment live: OpenExo fork, Teensy board, Azure Kinect for gait capture

Note: Current FDA approvals cover SCI, not cerebellar ataxia. Positioning this as research — not just personal use — is the fastest path to device access while generating publishable data.

III
Implementation Q1–Q2 2027

Acquire the device. Begin instrumented walking. Get the control prototype running.

  • Exoskeleton acquired; certified companion trained; first assisted walk completed
  • Home environment on Canby Road adapted for device use
  • OpenExo dev environment operational in Crostini/Linux
  • Initial gait capture sessions using sensor suite; SCA3 dataset begun
  • Layer 1/2 control prototype running in simulation
IV
Iteration Q2–Q4 2027

The engineering loop. Walk more. Walk better. Build smarter.

  • Instrument → Walk → Capture data → Refine control parameters → Repeat
  • Increasing frequency of walking sessions; improving gait quality; reducing fall risk
  • First findings published — even informally via OpenExo community
  • Layer 1/2 prototype tested on actual device; clinical collaborators engaged
V
Practice, Walk & Dance Dec 2027 →

Walking is routine. The R&D has produced something shareable. The mission clock hits zero.

The goal isn't to walk once. It's to walk to the mailbox. Walk at a friend's gathering. Dance at a grandkid's birthday. Walk because it's Tuesday.
  • Walking is a regular part of life — not a clinical event
  • ExoLab has a publishable control system contribution in the SCA3/exoskeleton intersection
  • Open-source contribution to OpenExo; established position in the field

The ExoLab Reading Stack

The foundational texts and repositories behind this build. Every resource here is free and directly applicable to the control problems ExoLab is solving.

Exoskeleton Market Landscape

ExoLab's Layer 1/2 control systems are designed to run on top of commercial exoskeleton hardware — not replace it. The table below surveys the current market: consumer hip-assist devices and FDA-cleared medical exoskeletons.

Consumer / Fitness
Medical / Clinical
Company / Model Price (USD) Motor Count Peak Power Max Torque Weight Battery Range Modes / AI App / Interface Use Case Notes
▸ Hypershell — Consumer Fitness & Outdoor
Hypershell
X Go
Consumer
$899 2 hip motors400 W~16 N·m~2.2 kg15 km 6 modes, AI MotionEngine LITHypershell+ appEntry walking/hiking
IP54, -10°C, foldable. No charger included.
Hypershell
X Pro
Consumer
$899 2 hip motors800 W32 N·m~2.2 kg17.5 km 10 modes (Walk, Run, Stairs, Hills…), AI MotionEngineHypershell+ appHiking, cycling, mixed terrain
IP54, -20°C. 2 ms response. Carbon fiber + aluminum frame.
Hypershell
X Carbon
Consumer
$1,299–1,599 2 hip motors800 W32 N·m1.8 kg17.5 km 10 modes, AI MotionEngineHypershell+ appHiking, extreme terrain
Carbon fiber + titanium alloy. 4,000 km durability rating.
Hypershell
X Ultra
Consumer
$1,799–1,999 2 hip motors1,000 W~22 N·m~2.3 kg30 km 12 modes, AI MotionEngineHypershell+ appLong-distance hiking, daily use
IP54, -20°C. Titanium + carbon fiber. 12 sensors incl. barometer, gyro.
Hypershell
X Pro S NEW 2026
Consumer
$999 2 hip motors800 W18 N·m~2.1 kg17.5 km HyperIntuition™ AI (0.31s sync), TÜV Rheinland verifiedHypershell+ appLighter outdoor activity
Launched May 2026. Soft package. Max 20 km/h.
Hypershell
X Max S NEW 2026
Consumer
$1,499 2 hip motors1,000 W22 N·m~2.2 kg30 km HyperIntuition™ AI, 36× processing leapHypershell+ appHeavy outdoor / load carry
Titanium alloy waist/back. SpiralTwill 3000 carbon fiber. Max 25 km/h.
Hypershell
X Ultra S NEW 2026
Consumer
$1,999 2 hip motors1,000 W22 N·m~2.2 kg30 km × 2 batteries HyperIntuition™ AI, 0.31s intent syncHypershell+ appElite outdoor / search & rescue
3D-printed titanium hip tube. 0.7 mm wall carbon. ↓HR 42%, ↓O₂ 39%.
▸ DNSYS — Consumer Fitness & Mobility
DNSYS
X1 Carbon
Consumer
$999–1,099 1 hip motor900 W (1.2 HP)40 N·m1.6 kg20 km / 7 hr AI intent prediction, adaptive learning, dual-core 240 MHzDNSYS app (iOS & Android)Hiking, running, daily mobility
3s battery swap. 9 safety modules. USB-C PD fast charge.
DNSYS
X1 Carbon Pro
Consumer
$1,899 1 hip motor900 W (1.2 HP)40 N·m1.6 kg (actual ~2.2 kg)40 km (2 batteries) AI intent prediction, regenerative mode, 9 safety modulesDNSYS appHeavy hiking, workout, running
Titanium alloy + carbon fiber. 3s battery swap. Max speed 27 km/h.
▸ AstroShell — Consumer Fitness
AstroShell
Alpha 1
Consumer
$1,099 2 motors (est.)1,000 W peak40 N·m continuous2.0 kg24 km AI Active System, adaptive assistCompanion app (est.)Hiking, walking endurance
Aerospace magnesium alloy. Swappable "pocket" batteries.
▸ Ascentiz — Consumer Modular / Open-Source Platform
Ascentiz
H1 Pro (Hip Module)
Consumer
Open-Source BodyOS
$1,049
Early backer $699 · Kickstarter #1 funded exo
1 hip motor (quasi-direct-drive)900 W (1.2 HP)36 N·m peak1.75 kg (w/o battery)~78 Wh battery AI Motion Cortex, 10+ motion scenarios, 0.2s recognitionCompanion app + open-source BodyOS SDKHiking, running, daily mobility
iF Design Award 2026. 35% effort reduction. Folds to A4. ⚡ BodyOS = ExoLab integration opportunity.
Ascentiz
K1 Pro (Knee Module)
Consumer
Open-Source BodyOS
$1,149
Early backer $799
1 knee motor (cable-drive)900 W (1.2 HP)48 N·m peak~2.25 kg (w/o battery)~78 Wh battery AI Motion Cortex, 10+ motion scenarios, 0.2s recognitionCompanion app + open-source BodyOS SDKEndurance, load-bearing, joint support
Cable-drive optimized for knee biomechanics. Supports up to 216 lbs load.
Ascentiz
H+K Bundle
Consumer
Open-Source BodyOS
$1,498
Early backer $1,298
2 motors (1 hip + 1 knee)900 W (1.2 HP)36 N·m (H) / 48 N·m (K)1.75–2.25 kg per module~78 Wh per module Full Ascentiz AI Motion Cortex; modules swap one at a time via Exo-Belt hubCompanion app + open-source BodyOS SDKFull-activity coverage — switch hip/knee per terrain
World's first modular exo system. BodyOS enables custom control layer development.
▸ Lifeward (formerly ReWalk Robotics) — FDA-Cleared Medical
Lifeward
ReWalk 7
Medical
FDA Cleared
~$75,000–95,000
Medicare reimbursable; $94,617 CMS rate, 20% copay
4 motors (2 hip, 2 knee)N/ANot published~23 kg (51 lbs)Session-based 2 customizable walking speeds, cloud connectivity, smartwatch displayMyReWalk app, crutch control, smartwatchSCI T7–L5, home & community ambulation, stairs & curbs
FDA cleared March 2025. First device with FDA stair clearance.
▸ Ekso Bionics — FDA-Cleared Medical
Ekso Bionics
Ekso Indego Personal
Medical
FDA Cleared
~$75,000–95,000
Medicare, VA, workers comp coverage
4 motors (2 hip, 2 knee)N/ALimited (BLDC flat motors)~14 kg (31 lbs)Session-based Wireless software control, individualized gait settingsiOS & Android wireless appSCI T3–L5, home & community; NO stair clearance
Lightest medical exoskeleton. Modular 5-piece design. Carbon-fiber thermoplastic.
Ekso Bionics
EksoNR
Medical
FDA Cleared
~$100,000+
Clinical/rehab centers only
4 motors (2 hip, 2 knee)N/ANot published~20 kg (44 lbs)Session-based Multiple gait modes, stroke/SCI/ABI/MS modesiOS app (therapist-controlled)Rehab only: stroke, SCI, ABI, MS
Only exoskeleton FDA cleared for ABI and MS. Not for home use.
▸ Wandercraft — FDA-Cleared Medical & Personal (Hands-Free)
Wandercraft
Atalante X
Medical
FDA Cleared
~$150,000–250,000
Clinical/rehab centers only; not for personal purchase
12 actuated joints (6 per leg: hip flex/ext, hip abduction, knee, ankle)Not publishedNot published~50 kg (110 lbs)Session-based Fully autonomous dynamic balance — no crutches or parallel bars; AI-driven gait; therapist tablet controlTherapist tablet interfaceRehab: stroke, SCI, neurological gait impairment; NO home use
FDA 510(k) cleared Nov 2023. Only fully autonomous hands-free exo. Strong SCA3 candidate due to no crutch requirement.
Wandercraft
Eve
Medical
Clinical Trial
TBD
Personal/home use; Medicare coverage anticipated; ~2026 commercial launch
Not publishedNot publishedNot publishedNot publishedAll-day personal use Self-balancing AI gait (NVIDIA Jetson edge compute); no crutches; 5-session onboarding; real-time adaptive gait across surfacesPersonal user interface (details TBD)Personal/home: SCI T6+; neurological gait impairment; community ambulation
In clinical trials (Kessler Institute, VA Medical Center NY). FDA filing targeted post-trial. Highest personal-use relevance for SCA3 — self-balancing removes crutch dependency entirely.

ExoLab Findings

AI-assisted knowledge-base entries documenting device research, control-system analysis, and clinical evidence — generated in session and published here.

2026-06-14 · KNOWLEDGE-BASE ENTRY · DOMAIN: EXOSKELETONS FOR THE DISABLED · GENERATED WITH CLAUDE

Exoskeletons for Neuro-Challenged (Non-SCI) Adults — Expert Briefing

Core Reframe: Output Failure vs. Coordination Failure

The field splits on one question: is the deficit a failure of motor output or of motor coordination?

OUTPUT FAILURE — SCI · SEVERE STROKE · LATE MS

Motor command weak/absent. Robot's job = substitution — drive joints through pre-planned trajectory. Position control, fixed gait cycle, "puppet" model. This is what almost all famous exos do.

COORDINATION FAILURE — CEREBELLAR ATAXIA (SCA3, MSA-C) · PARTLY PARKINSON'S

Strength largely intact; timing/scaling/feedback broken. Ataxic gait = unstable walking, increased step width, balance deficit, high stride-to-stride variability. Robot's job = augmentation/stabilization — damp error, supply rhythm, constrain sway without overriding intent. "Dance partner" model.

A device transformative for a paraplegic can be useless/destabilizing for ataxia because the control philosophy targets a different failure mode.

Map of the Landscape

  • Rehab vs. personal: most devices are clinic gait-trainers. Of legacy devices, only ReWalk and Indego are FDA-approved for personal/home use — both indicated for SCI.
  • Substitutive vs. synchronization control: most rigid exos are substitutive. A small (mostly Japanese) line uses synchronization/CPG-based control — the correct architecture for ataxia, and the one that maps to ExoLab Layer-1 (intent) / Layer-2 (gait planning).

Device Comparison (Neuro, Non-SCI Focus)

DEVICE CONTROL FDA NEURO INDICATIONS HOME USE ATAXIA
EksoNR Substitutive, adaptive assist Brain injury, MS, stroke + SCI (first FDA-cleared for all) Clinic only LOW
Keeogo Assistive knee power, follows user motion 510(k); MS, PD, ataxia listed Portable/home HIGH
curara ★ Synchronization / CPG Not FDA-cleared (Japan) Designed for home HIGHEST
Wandercraft Eve Self-balancing, hands-free In trial (SCI/paraplegia), not marketed Designed for home UNKNOWN
HAL (Cyberdyne) Bioelectric (EMG) intent Post-stroke paresis, neuromuscular paraplegia, CP, spastic paraplegia Clinic-centric MODERATE

Keeogo — The Responder Window

Provides dynamic stability + minimally necessary assistance (marching, lunges, step-ups, walking, stairs). Critical finding: responders had moderate impairment — Berg Balance Scale 46–51 or Timed Up and Go 8–12 s. Too functional or too impaired = no benefit. Progressive disease eventually walks a person out of the window. This is the key number for any assistive (non-substitutive) device.

curara — The Device to Know for Cerebellar Disease

  • Assists hip + knee; supports rhythmic gait via synchronization control based on a central pattern generator (neural oscillator).
  • Detects interactive force from slight wearer movements to reflect intent; coordination tunable via synchronization gain.
  • Soft-ish architecture: actuators on molded joint supports, no metallic exoskeleton frame (rigid frames fight ataxic micro-corrections).
  • Evidence: 2018 study (n=12 SCD) improved walking smoothness; 2021 single-arm study (n=20 SCA/MSA-cerebellar, 15-day training). Korean ANGELLEGS case report (SCA) showed balance/gait gains persisting at 4-week follow-up.

ExoLab takeaway: existence proof that CPG-synchronization works as intent-respecting control for ataxic gait — the Layer-1 → Layer-2 decomposition. Open problem: generalizing from rhythmic/treadmill gait to free-living, variable-terrain, start-stop ambulation.

Evidence Reality Check

  • Strong RCT-grade evidence = stroke + SCI rehab gait training.
  • Cerebellar ataxia exo literature = case reports + single-arm studies (n=1 to ~20), no controlled trials, short durations. "Improved while wearing it" ≠ durable rehab effect (curara authors flag this explicitly).
  • Moderate evidence that rehabilitation in general helps cerebellar postural control — but that argues for intensive PT, not specifically robots.
  • Honest position: robotic gait training in ataxia is plausible/promising, not established. Choose by responder-window logic, not brand.

Access & Economics

  • Medicare pathway = brace benefit. CMS-1780-F classifies powered exos that support weak limbs as braces; lump-sum reimbursement under HCPCS K1007 (est. for ReWalk).
  • Framing built around weak limbs and SCI — poor fit for ataxia (limbs not weak).
  • Wandercraft Eve trials = SCI/paraplegia/tetraplegia, not coordination disorders.
  • Net: as personal exos arrive, both coverage logic and trials point away from the neuro-coordination population. This is the exact gap ExoLab and the Wandercraft discovery call are probing.

Threads to Pull Next

  • Full curara / AssistMotion technical lineage; whether type-4+ units are obtainable outside Japan.
  • Whether Eve's self-balancing layer could be repurposed as an ataxia balance aid despite paralysis-oriented marketing (open, ExoLab-relevant).

Sources

  • Wearable Robots for Rehab and Assistance of Gait — PMC12411867
  • Robotic Exoskeleton-Assisted Gait Training in SCA (ANGELLEGS) — PMC8309925
  • Robot Assisted Gait Training in a Patient with Ataxia — PMC9326713
  • curara / synchronization control in SCD — J NeuroEng Rehabil 2018 (PMC6146529); BioMed Eng OnLine 2021 (PMC8424896)
  • Keeogo responder window — PhysioFunction / McLeod et al.; Nature Sci Rep 2024 (Parkinson's)
  • FDA clearances — Ekso Bionics; Molina/Premera/FEP medical policies; Cyberdyne HAL K233695
  • Wandercraft Eve — Series D coverage 2025; ClinicalTrials NCT06715631, NCT06777576
  • Medicare brace benefit — CMS-1780-F; Noridian K1007; Lifeward/ReWalk releases

Collaborate with ExoLab

ExoLab welcomes connection from researchers, clinicians, engineers, investors, and anyone navigating a neurological mobility condition. This work is open and documented.

Founder
Greg Klassen — DSP Engineer, Retired CEO
📍
Location
Leesburg, Virginia (Loudoun County)
🌐
Domain
exolab.llc
🔬
Research Interest
SCA3 · Exoskeleton Control · DSP · Gait Analysis
📻
Also Publishing
"What's Next?" Podcast — Post-career identity & purpose
AI Services

// This is an active research lab, not a product company. Messages are read personally by Greg Klassen. Response time: 24–48 hours.

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