Frontier Tech · Advanced
Physical AI & Humanoid Robotics
Embodied AI is leaving the lab: electric humanoids in production, plug-and-play robot brains, and end-to-end neural control. Learn to evaluate, integrate and operate physical AI in real facilities.
Humanoid and mobile robots crossed into commercial deployment in 2026 — fully electric platforms built for industrial tasks, generalised 'robot brain' software suites, and end-to-end neural networks that turn visual and language cues directly into movement. This program takes operations, engineering and innovation teams from hype to a deployment-grade understanding: how embodied AI actually perceives and acts, what vision-language-action models can and cannot do, how to scope a pilot cell, and how to run safety, HRI and fleet operations when the workforce includes machines.
Who it's for
Robotics and automation engineers, manufacturing/ops leaders, innovation teams scoping physical-AI pilots. Python helpful for labs.
Tools & stack
What you'll walk away with
- Explain end-to-end (VLA) robot control vs classical motion programming
- Evaluate humanoid and mobile platforms against real task requirements
- Integrate plug-and-play robot-brain stacks with facility systems
- Design a pilot cell: safety envelopes, HRI, battery/charge cycles
- Stand up fleet operations: monitoring, teleop fallback, incident play
Curriculum
01The physical AI landscape 2026
- Electric humanoids in production
- Robot-brain platform suites
- Where deployments succeed and stall
- Economics of a robot work-cell
02Embodied intelligence
- Vision-language-action models
- Sim-to-real and domain gaps
- Skills, policies and safety limits
- Lab: policy evaluation in sim
03Integration engineering
- Perception and world models
- Facility systems and edge compute
- Task orchestration APIs
- Lab: task pipeline on a sim robot
04Safety, HRI & compliance
- Safety cases and envelopes
- Human-robot interaction design
- Standards and audit trails
- Incident response drills
05Pilot to fleet
- Pilot-cell scoping canvas
- Fleet monitoring and teleop
- Maintenance and battery ops
- Capstone: deployment plan review
Pricing
Value-based
Two-part: a one-time enablement fee plus a per-seat rate that falls as the cohort grows.
Indicative rate card · ≈ ₹10,999/hr · $280/hr
Seats limited
Choose a cohort
New cohort dates announced weekly — enrol now and pick your dates with an advisor.
Pay by PO · nothing upfront · net 30 days · GeM & tender-ready
Or reserve a seat online
₹10,999deposit
Reserves your seat & dates. Balance invoiced per your engagement.
Secure · Razorpay · full refund 7+ days before start
Every enrolment includes
- • Qube copilot access throughout
- • All session recordings & materials
- • Graded applied project with review
- • Verifiable certificate on completion
- • 30-day post-programme support
Related programs
Full catalogueStart today
Not sure this is the right level?
Take the free 3-minute Skill DNA assessment — Qube will place you precisely.