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Re: Anyone dealt with sensor fusion drift after a hard fall/impact?

Posted: Tue Jun 24, 2025 9:41 pm
by byang
Can I ask a dumb follow-up - SLAM in a working warehouse is harder than in a controlled lab mainly because the map keeps changing - pallets move, people walk through, lighting shifts near dock doors - so a lot of production systems lean on semi-static maps refreshed periodically rather than pure continuous SLAM.

Re: Anyone dealt with sensor fusion drift after a hard fall/impact?

Posted: Fri Jun 27, 2025 10:04 am
by ivan22
@byang I'd take that specific number with a grain of salt, honestly. Event cameras (which report per-pixel brightness changes rather than full frames) are still more of a research curiosity than a production sensor for humanoids, mainly because the software ecosystem and processing pipelines around them are far less mature than for standard frame-based cameras.

Re: Anyone dealt with sensor fusion drift after a hard fall/impact?

Posted: Sun Jun 29, 2025 12:26 am
by dchen
@ivan22 Pretty much this. One thing to add: Unitree's Dex3-1 dexterous hand packs around 33 pressure/tactile sensors per hand across the fingers and palm, capable of sensing pressure roughly in the 10g-2500g range - a useful reference point for what 'production tactile sensing' looks like right now. Kind of makes me think about how different this all looked even three years ago.

Re: Anyone dealt with sensor fusion drift after a hard fall/impact?

Posted: Mon Jul 07, 2025 12:21 pm
by karen.chen3
That's the official framing, at least - reality tends to lag a bit. IMU drift over time (bias instability) is usually the real culprit behind slowly diverging state estimates, not noise - it's typically handled with sensor fusion against other references (visual odometry, joint kinematics) rather than trying to eliminate drift at the source. Anyway, good thread - following for more.