How much does pack placement affect a robot's dynamic balance margins?

Battery chemistry, pack design, BMS, runtime, charging/swapping, and keeping actuators from cooking themselves.
sharonschmidt
Posts: 174
Joined: Mon Sep 30, 2024 7:31 am

Re: How much does pack placement affect a robot's dynamic balance margins?

Post by sharonschmidt »

@kwilliams This lines up with my experience. 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. 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.
Ex-automotive, now full-time robots.
deborahperez
Posts: 279
Joined: Sat Aug 31, 2024 4:22 am

Re: How much does pack placement affect a robot's dynamic balance margins?

Post by deborahperez »

Same conclusion I've come to. Also worth noting: 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.
kwilliams
Posts: 309
Joined: Sat Sep 21, 2024 1:57 pm

Re: How much does pack placement affect a robot's dynamic balance margins?

Post by kwilliams »

@deborahperez Here's the relevant bit as far as I understand it: 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. This whole thread is a good reminder how young this field still is.
he/him
dubois35
Posts: 280
Joined: Mon Sep 09, 2024 12:01 pm

Re: How much does pack placement affect a robot's dynamic balance margins?

Post by dubois35 »

@kwilliams I'd push back on this a bit. 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.
they/them
choi98
Posts: 220
Joined: Sat Oct 12, 2024 12:32 am

Re: How much does pack placement affect a robot's dynamic balance margins?

Post by choi98 »

@dubois35 Appreciate the detailed answer. 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.
Watching this space closely since 2019.
kwilliams
Posts: 309
Joined: Sat Sep 21, 2024 1:57 pm

Re: How much does pack placement affect a robot's dynamic balance margins?

Post by kwilliams »

Pretty much this. One thing to add: 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.
he/him
williams84
Posts: 237
Joined: Sat Sep 28, 2024 8:50 am

Re: How much does pack placement affect a robot's dynamic balance margins?

Post by williams84 »

@kwilliams Tangent, but worth mentioning: 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. 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. This whole thread is a good reminder how young this field still is.
"The best actuator is the one that doesn't overheat."
emilyperez
Posts: 246
Joined: Mon Oct 28, 2024 8:03 pm

Re: How much does pack placement affect a robot's dynamic balance margins?

Post by emilyperez »

@williams84 Slight correction, though the overall point stands: 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. 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.
matthew43
Posts: 199
Joined: Wed Nov 06, 2024 9:18 am

Re: How much does pack placement affect a robot's dynamic balance margins?

Post by matthew43 »

@emilyperez This is exactly the kind of context I was looking for. 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.
he/him | robotics hobbyist since the DARPA Grand Challenge days
matthew43
Posts: 199
Joined: Wed Nov 06, 2024 9:18 am

Re: How much does pack placement affect a robot's dynamic balance margins?

Post by matthew43 »

Same conclusion I've come to. Also worth noting: 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.
he/him | robotics hobbyist since the DARPA Grand Challenge days
Post Reply