Anyone else surprised how much runtime varies between 'static' and 'dynamic' tasks?
Re: Anyone else surprised how much runtime varies between 'static' and 'dynamic' tasks?
I'd push back on this a bit.
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.
Watching this space closely since 2019.
Re: Anyone else surprised how much runtime varies between 'static' and 'dynamic' tasks?
@mia_lars Pretty much this. One thing to add:
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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freya.sokolov
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Re: Anyone else surprised how much runtime varies between 'static' and 'dynamic' tasks?
@mia.weber Worth being a little skeptical of the marketing angle here.
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. Fast charging accelerates capacity fade over repeated cycles, so fleet operators generally have to choose between minimizing downtime (fast charging) and maximizing pack lifespan (slower charging or swap-based approaches) rather than getting both for free.
Ex-automotive, now full-time robots.
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freya.smith
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Re: Anyone else surprised how much runtime varies between 'static' and 'dynamic' tasks?
Here's the relevant bit as far as I understand it:
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.
she/her
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greta.carter
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Re: Anyone else surprised how much runtime varies between 'static' and 'dynamic' tasks?
Small correction on one detail:
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. 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.
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rebecca_lefe
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Re: Anyone else surprised how much runtime varies between 'static' and 'dynamic' tasks?
Genuine beginner question -
The average humanoid in 2026 carries under 2.5 kWh of battery capacity, with real-world runtimes clustering between two and four hours depending on how dynamic the workload is - static, low-motion tasks stretch runtime much further than continuous walking or lifting. 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.
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lukas.singh1
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Re: Anyone else surprised how much runtime varies between 'static' and 'dynamic' tasks?
@rebecca_lefe Side note that might be relevant:
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. Thermal margin in a densely packed humanoid chassis is often the real limiting factor on sustained performance, not raw motor power - actuators get thermally throttled well before they'd hit their absolute torque limits, especially during repeated high-load cycles like continuous lifting.
Re: Anyone else surprised how much runtime varies between 'static' and 'dynamic' tasks?
@lukas.singh1 This matches something I went through recently.
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. Thermal margin in a densely packed humanoid chassis is often the real limiting factor on sustained performance, not raw motor power - actuators get thermally throttled well before they'd hit their absolute torque limits, especially during repeated high-load cycles like continuous lifting.
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freya.sokolov
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Re: Anyone else surprised how much runtime varies between 'static' and 'dynamic' tasks?
@vyoung Can I ask a dumb follow-up -
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. Fast charging accelerates capacity fade over repeated cycles, so fleet operators generally have to choose between minimizing downtime (fast charging) and maximizing pack lifespan (slower charging or swap-based approaches) rather than getting both for free.
Ex-automotive, now full-time robots.
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brian.campbell
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Re: Anyone else surprised how much runtime varies between 'static' and 'dynamic' tasks?
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. The average humanoid in 2026 carries under 2.5 kWh of battery capacity, with real-world runtimes clustering between two and four hours depending on how dynamic the workload is - static, low-motion tasks stretch runtime much further than continuous walking or lifting.