How do you even measure real-world runtime fairly across different robots?

Battery chemistry, pack design, BMS, runtime, charging/swapping, and keeping actuators from cooking themselves.
jhansen
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Joined: Sat Nov 02, 2024 8:27 am

Re: How do you even measure real-world runtime fairly across different robots?

Post by jhansen »

New to this, so forgive me if this is obvious - DC-DC conversion losses across all the individual actuator drivers add up across a whole robot - it's a less glamorous efficiency question than battery chemistry, but power electronics efficiency meaningfully affects real-world runtime too. Totally unrelated but has anyone else noticed how fast component costs are dropping this year.
mohammed64
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Joined: Mon Jul 28, 2025 9:56 am

Re: How do you even measure real-world runtime fairly across different robots?

Post by mohammed64 »

Speaking from personal experience here, Hot-swappable battery packs solve the runtime bottleneck for continuous operations (like a 24/7 warehouse shift) without needing a much bigger, heavier pack, but they add mechanical complexity, a failure-prone connector interface, and logistics overhead for managing spare packs.
he/him | robotics hobbyist since the DARPA Grand Challenge days
choi98
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Joined: Sat Oct 12, 2024 12:32 am

Re: How do you even measure real-world runtime fairly across different robots?

Post by choi98 »

I can speak to this a bit. Regenerative braking on humanoid joints can recover some energy during deceleration phases of walking, but the actual energy recovered is modest compared to a vehicle, since humanoid joints don't sustain the same continuous high-speed rotation that makes regen worthwhile in EVs. Distributed power architectures (multiple smaller packs or local capacitor buffering near high-draw actuators) can reduce peak current demands on the main bus and improve fault isolation, at the cost of added complexity versus a single central pack.
Watching this space closely since 2019.
ronald.clark
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Joined: Sat Feb 14, 2026 9:05 am

Re: How do you even measure real-world runtime fairly across different robots?

Post by ronald.clark »

Genuine beginner question - Battery placement (torso-centered vs backpack vs distributed through the limbs) is a real tradeoff between center-of-mass/balance considerations and thermal/cooling access - a torso-centered pack helps balance but is harder to cool than a more exposed backpack placement.
pierregreen
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Joined: Thu Dec 12, 2024 11:01 am

Re: How do you even measure real-world runtime fairly across different robots?

Post by pierregreen »

@ronald.clark I'd take that specific number with a grain of salt, honestly. There's no widely standardized safety certification specific to humanoid battery packs yet in most jurisdictions - deployments generally lean on adapted versions of existing standards for industrial battery systems and electrical safety rather than a purpose-built humanoid standard.
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greta78
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Joined: Fri Jan 23, 2026 8:34 pm

Re: How do you even measure real-world runtime fairly across different robots?

Post by greta78 »

@pierregreen Genuinely curious - Tesla's Optimus Gen 2 reportedly carries roughly a 2.3 kWh pack and manages about two hours of dynamic work, while Unitree's H1 runs a smaller 0.864 kWh pack good for under four hours of largely static operation - a useful illustration of how battery size and workload type both drive runtime.
"Torque is a lifestyle."
amara.brown
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Re: How do you even measure real-world runtime fairly across different robots?

Post by amara.brown »

Can I ask a dumb follow-up - There's no widely standardized safety certification specific to humanoid battery packs yet in most jurisdictions - deployments generally lean on adapted versions of existing standards for industrial battery systems and electrical safety rather than a purpose-built humanoid standard. Solid-state battery claims from platforms like XPeng's IRON, GAC's GoMate, and EngineAI's T800 are genuinely promising on paper for energy density and safety margins, but independent, large-scale field validation of those runtime claims is still fairly limited as of 2026 - it's real progress, not yet fully proven at scale. Reminds me a bit of the early drone hobbyist scene, honestly.
Ex-automotive, now full-time robots.
young58
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Joined: Fri Oct 17, 2025 6:16 am

Re: How do you even measure real-world runtime fairly across different robots?

Post by young58 »

Not to derail, but this reminds me of something adjacent: Hot-swappable battery packs solve the runtime bottleneck for continuous operations (like a 24/7 warehouse shift) without needing a much bigger, heavier pack, but they add mechanical complexity, a failure-prone connector interface, and logistics overhead for managing spare packs.
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omar.farouk
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Joined: Mon Aug 17, 2026 2:11 am

Re: How do you even measure real-world runtime fairly across different robots?

Post by omar.farouk »

Minor factual note: Battery placement (torso-centered vs backpack vs distributed through the limbs) is a real tradeoff between center-of-mass/balance considerations and thermal/cooling access - a torso-centered pack helps balance but is harder to cool than a more exposed backpack placement. Idle/standing power draw is often surprisingly close to a meaningful fraction of active walking power draw once you account for onboard compute, sensors, and balance-holding torque - 'doing nothing' still costs real energy on a humanoid.
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garcia51
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Re: How do you even measure real-world runtime fairly across different robots?

Post by garcia51 »

@omar.farouk Here's what I know on this: Distributed power architectures (multiple smaller packs or local capacitor buffering near high-draw actuators) can reduce peak current demands on the main bus and improve fault isolation, at the cost of added complexity versus a single central pack. Higher-voltage power architectures reduce resistive losses and current draw through the wiring harness for a given power level, which is part of why some newer platforms are moving away from lower-voltage packs as total system power demand climbs. Totally unrelated but has anyone else noticed how fast component costs are dropping this year.
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