GEdgeBot: Re-Productized Multilingual Service Robot on Retired Edge Silicon
Overview
This research paper introduces GEdgeBot, a multilingual service robot constructed around a retired 32 GB Jetson AGX Xavier. The study details the system architecture where AI and orchestration run on the Xavier while motor control is handled by an STM32F407. Historical measurements report 1,782 MB GPU memory usage with specific models resident, noting a direct-control p99 deviation rising to 49.93 ms under concurrent AI load. The authors conduct audits of the six-mode control state machine and a 14-scenario replay, concluding that results support an existence claim and reproducible architectural hypothesis rather than fleet-level reliability.
Generated from attributed reports · Updated 9 hours ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · GPU memory: 1782 other · Basis not reported
“type measurements report 1,782 MB GPU memory with YOLO, Whisper-small, and NLLB-200 resident, a direct-control p99 deviation rising from 0.24 to 49.93 ms under concurrent AI load, and six of six trigger-to-follow demonstrations at 4.35 s mean latency, with conversational voice unavailable. A November campaign restores an isolated inference stack, re-measures AI workloads, and repeats control-frame runs. Driving two e”
Exact source · revision 1Source owner not reported
Reported quantity · direct-control p99 deviation: 0.24 other · Basis not reported
“type measurements report 1,782 MB GPU memory with YOLO, Whisper-small, and NLLB-200 resident, a direct-control p99 deviation rising from 0.24 to 49.93 ms under concurrent AI load, and six of six trigger-to-follow demonstrations at 4.35 s mean latency, with conversational voice unavailable. A November campaign restores an isolated inference stack, re-measures AI workloads, and repeats control-frame runs. Driving two e”
Exact source · revision 1Source owner not reported
Reported quantity · trigger-to-follow demonstration latency: 4.35 other · Basis not reported
“type measurements report 1,782 MB GPU memory with YOLO, Whisper-small, and NLLB-200 resident, a direct-control p99 deviation rising from 0.24 to 49.93 ms under concurrent AI load, and six of six trigger-to-follow demonstrations at 4.35 s mean latency, with conversational voice unavailable. A November campaign restores an isolated inference stack, re-measures AI workloads, and repeats control-frame runs. Driving two e”
Exact source · revision 1Source owner not reported
Reported quantity · frame interval: 50 other · Basis not reported
“xecution organisations with the same 6,000 measured 50 ms frame intervals shows the finite-pulse boundary removes host jitter from the pulse train but not the command start phase; its stopping bound is host-enforced, while the MCU 16-bit pulse field is unclamped. A six-check static audit exposes a host--MCU queue mismatch, and a 14-scenario replay executes the audited main() dispatcher across six modes with zero phys”
Exact source · revision 1Source owner not reported
Reported quantity · contract-checked frames: 54 other · Basis not reported
“ical device opens and 54 contract-checked frames. Results support an existence claim and a reproducible architectural hypothesis, not fleet-level reliability. The 208 direct-control ratio remains unreplicated; MCU waveform capture and on-site fault injection remain open.”
Exact source · revision 1Source owner not reported
Reported quantity · control modes: 6 other · Basis not reported
“xecution organisations with the same 6,000 measured 50 ms frame intervals shows the finite-pulse boundary removes host jitter from the pulse train but not the command start phase; its stopping bound is host-enforced, while the MCU 16-bit pulse field is unclamped. A six-check static audit exposes a host--MCU queue mismatch, and a 14-scenario replay executes the audited main() dispatcher across six modes with zero phys”
Exact source · revision 1Source owner not reported
Report timeline
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- arXiv Robotics — research abstractsSignalCompute Regeneration through Re-Productization: Reorganizing Retired Edge AI Silicon into a Delivered Multilingual Service Robot
This research paper introduces GEdgeBot, a multilingual service robot constructed around a retired 32 GB Jetson AGX Xavier. The study details the system architecture where AI and orchestration run on the Xavier while motor control is handled by an STM32F407. Historical measurements report 1,782 MB GPU memory usage with specific models resident, noting a direct-control p99 deviation rising to 49.93 ms under concurrent AI load. The authors conduct audits of the six-mode control state machine and a 14-scenario replay, concluding that results support an existence claim and reproducible architectural hypothesis rather than fleet-level reliability.
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