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Category: Open Humanoid

A 20-article engineering series building a fully spec-driven autonomous humanoid robot from first principles — locomotion, manipulation, vision, speech, power, and simulation.

The Open Humanoid Manifesto: An Open-Source Blueprint for Accessible Humanoid Robotics

Posted on March 22, 2026 by Admin
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19157578  58stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted65%○≥80% from verified, high-quality sources
[a]DOI35%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic59%○≥80% from journals/conferences/preprints
[f]Free Access88%✓≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]2,954✓Minimum 2,000 words for a full research article. Current: 2,954
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19157578
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥60% of references from 2025–2026. Current: 33%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The humanoid robotics field stands at an inflection point: global market projections exceed two billion dollars in 2026, yet the engineering knowledge required to build a functional bipedal robot remains concentrated within a small number of well-funded corporations and elite research laboratories. This article presents the Open Humanoid Manifesto — a comprehensive open-source blueprint that sy...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.19157578 58stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted65%○≥80% from verified, high-quality sources
[a]DOI35%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic59%○≥80% from journals/conferences/preprints
[f]Free Access88%✓≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]2,954✓Minimum 2,000 words for a full research article. Current: 2,954
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19157578
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥60% of references from 2025–2026. Current: 33%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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System Integration and Testing: Full-Body Commissioning, Regression Testing, and Validation Frameworks for Humanoid Robots

Posted on March 21, 2026 by
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19154348  48stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources6%○≥80% from editorially reviewed sources
[t]Trusted44%○≥80% from verified, high-quality sources
[a]DOI6%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic38%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References16 refs✓Minimum 10 references required
[w]Words [REQ]2,836✓Minimum 2,000 words for a full research article. Current: 2,836
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19154348
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]14%✗≥60% of references from 2025–2026. Current: 14%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (46 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Assembling a humanoid robot from individually validated subsystems does not guarantee that the complete platform will function correctly. System integration and testing represents the engineering phase where mechanical, electrical, thermal, perceptual, and cognitive subsystems must operate as a coherent whole under real-world conditions. This article presents a structured methodology for full-b...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.19154348 48stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources6%○≥80% from editorially reviewed sources
[t]Trusted44%○≥80% from verified, high-quality sources
[a]DOI6%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic38%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References16 refs✓Minimum 10 references required
[w]Words [REQ]2,836✓Minimum 2,000 words for a full research article. Current: 2,836
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19154348
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]14%✗≥60% of references from 2025–2026. Current: 14%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (46 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Human-Robot Interaction: Gesture Recognition, Emotion Detection, and Social Behaviour for Humanoid Robots

Posted on March 21, 2026 by
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19154329  72stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI67%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic93%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References15 refs✓Minimum 10 references required
[w]Words [REQ]2,701✓Minimum 2,000 words for a full research article. Current: 2,701
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19154329
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]54%✗≥60% of references from 2025–2026. Current: 54%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (86 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

For a humanoid robot to operate alongside humans in domestic, healthcare, and industrial settings, it must perceive and respond to the non-verbal cues that govern human social interaction. This article examines three pillars of human-robot interaction (HRI) for open-source humanoid platforms: gesture recognition through vision and inertial sensing, emotion detection via facial expression analys...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.19154329 72stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI67%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic93%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References15 refs✓Minimum 10 references required
[w]Words [REQ]2,701✓Minimum 2,000 words for a full research article. Current: 2,701
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19154329
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]54%✗≥60% of references from 2025–2026. Current: 54%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (86 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Communication Protocols: ROS 2, EtherCAT, and Real-Time Networking for Humanoid Robot Subsystems

Posted on March 21, 2026 by
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19153562  54stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources7%○≥80% from editorially reviewed sources
[t]Trusted57%○≥80% from verified, high-quality sources
[a]DOI21%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic50%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,872✓Minimum 2,000 words for a full research article. Current: 2,872
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19153562
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]42%✗≥60% of references from 2025–2026. Current: 42%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (55 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

A humanoid robot with more than forty actuated degrees of freedom generates a continuous stream of sensor readings, motor commands, and state estimates that must be exchanged between distributed controllers within deterministic time bounds. This article examines the communication protocols that form the nervous system of an open-source humanoid platform: the Robot Operating System 2 (ROS 2) mid...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.19153562 54stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources7%○≥80% from editorially reviewed sources
[t]Trusted57%○≥80% from verified, high-quality sources
[a]DOI21%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic50%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,872✓Minimum 2,000 words for a full research article. Current: 2,872
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19153562
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]42%✗≥60% of references from 2025–2026. Current: 42%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (55 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Power Systems: Battery Architecture, Energy Harvesting, and Runtime Optimization for Autonomous Humanoid Robots

Posted on March 21, 2026 by
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19152566  55stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources47%○≥80% from editorially reviewed sources
[t]Trusted67%○≥80% from verified, high-quality sources
[a]DOI7%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic60%○≥80% from journals/conferences/preprints
[f]Free Access53%○≥80% are freely accessible
[r]References15 refs✓Minimum 10 references required
[w]Words [REQ]3,359✓Minimum 2,000 words for a full research article. Current: 3,359
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19152566
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]31%✗≥60% of references from 2025–2026. Current: 31%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (58 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Power system design represents the single greatest constraint on humanoid robot autonomy. Current-generation humanoid platforms achieve only two to four hours of continuous operation, with battery mass consuming fifteen to twenty-five percent of total system weight and peak actuator demands creating discharge profiles fundamentally different from those in electric vehicles or consumer electroni...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.19152566 55stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources47%○≥80% from editorially reviewed sources
[t]Trusted67%○≥80% from verified, high-quality sources
[a]DOI7%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic60%○≥80% from journals/conferences/preprints
[f]Free Access53%○≥80% are freely accessible
[r]References15 refs✓Minimum 10 references required
[w]Words [REQ]3,359✓Minimum 2,000 words for a full research article. Current: 3,359
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19152566
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]31%✗≥60% of references from 2025–2026. Current: 31%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (58 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Thermal Management: Heat Dissipation, Actuator Cooling, and Operating Temperature Envelopes for Humanoid Robots

Posted on March 21, 2026 by
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19152534  52stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources25%○≥80% from editorially reviewed sources
[t]Trusted58%○≥80% from verified, high-quality sources
[a]DOI8%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic50%○≥80% from journals/conferences/preprints
[f]Free Access83%✓≥80% are freely accessible
[r]References12 refs✓Minimum 10 references required
[w]Words [REQ]3,463✓Minimum 2,000 words for a full research article. Current: 3,463
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19152534
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]20%✗≥60% of references from 2025–2026. Current: 20%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (53 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Thermal management represents one of the most critical and underexplored engineering challenges in humanoid robotics. As actuator densities increase and computing loads grow, humanoid robots generate substantial waste heat within tightly enclosed body structures where natural convection alone proves insufficient. This article examines the complete thermal engineering pipeline for open-source hu...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.19152534 52stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources25%○≥80% from editorially reviewed sources
[t]Trusted58%○≥80% from verified, high-quality sources
[a]DOI8%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed100%✓≥80% have metadata indexed
[l]Academic50%○≥80% from journals/conferences/preprints
[f]Free Access83%✓≥80% are freely accessible
[r]References12 refs✓Minimum 10 references required
[w]Words [REQ]3,463✓Minimum 2,000 words for a full research article. Current: 3,463
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19152534
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]20%✗≥60% of references from 2025–2026. Current: 20%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (53 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Proprioception and Internal State Estimation: Joint Encoders, Torque Sensing, and Body Schema for Humanoid Robots

Posted on March 16, 2026 by
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19057213  69stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources45%○≥80% from editorially reviewed sources
[t]Trusted90%✓≥80% from verified, high-quality sources
[a]DOI55%○≥80% have a Digital Object Identifier
[b]CrossRef25%○≥80% indexed in CrossRef
[i]Indexed85%✓≥80% have metadata indexed
[l]Academic90%✓≥80% from journals/conferences/preprints
[f]Free Access65%○≥80% are freely accessible
[r]References20 refs✓Minimum 10 references required
[w]Words [REQ]2,972✓Minimum 2,000 words for a full research article. Current: 2,972
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19057213
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (80 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

A humanoid robot that cannot sense its own body is a humanoid robot that falls down. Proprioception — the internal sensing of joint positions, velocities, torques, and overall body configuration — is the foundation upon which every higher-level capability depends. Without accurate proprioceptive state estimation, locomotion controllers cannot maintain balance, manipulation pipelines cannot clos...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.19057213 69stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources45%○≥80% from editorially reviewed sources
[t]Trusted90%✓≥80% from verified, high-quality sources
[a]DOI55%○≥80% have a Digital Object Identifier
[b]CrossRef25%○≥80% indexed in CrossRef
[i]Indexed85%✓≥80% have metadata indexed
[l]Academic90%✓≥80% from journals/conferences/preprints
[f]Free Access65%○≥80% are freely accessible
[r]References20 refs✓Minimum 10 references required
[w]Words [REQ]2,972✓Minimum 2,000 words for a full research article. Current: 2,972
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19057213
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (80 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Speech Interface: Wake Word Detection, On-Device ASR, and Natural Language Command Parsing for Humanoid Robots

Posted on March 13, 2026March 13, 2026 by
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18992712  58stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted67%○≥80% from verified, high-quality sources
[a]DOI67%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed67%○≥80% have metadata indexed
[l]Academic67%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References3 refs○Minimum 10 references required
[w]Words [REQ]2,675✓Minimum 2,000 words for a full research article. Current: 2,675
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18992712
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Natural language interaction is central to human-robot collaboration. Humanoid robots operating in indoor environments must process continuous speech, detect wake words at low latency, perform automatic speech recognition (ASR) on-device to avoid cloud latency and privacy concerns, parse intent from variable linguistic input, and respond with synthesised speech — all within power and computatio...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.18992712 58stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted67%○≥80% from verified, high-quality sources
[a]DOI67%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed67%○≥80% have metadata indexed
[l]Academic67%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References3 refs○Minimum 10 references required
[w]Words [REQ]2,675✓Minimum 2,000 words for a full research article. Current: 2,675
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18992712
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Force Control and Compliant Motion: Impedance Control, Contact Estimation, and Safe Physical Interaction for Humanoid Robots

Posted on March 13, 2026March 13, 2026 by
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18992710  58stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted67%○≥80% from verified, high-quality sources
[a]DOI67%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed67%○≥80% have metadata indexed
[l]Academic67%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References3 refs○Minimum 10 references required
[w]Words [REQ]3,702✓Minimum 2,000 words for a full research article. Current: 3,702
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18992710
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Safe interaction with unstructured environments and direct physical contact with humans requires that humanoid robots move beyond position-stiff control toward compliant, force-aware systems. This article specifies the force control subsystem for the Open Humanoid platform, addressing impedance and admittance control architectures, distributed force-torque sensing at joints and end-effectors, c...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.18992710 58stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted67%○≥80% from verified, high-quality sources
[a]DOI67%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed67%○≥80% have metadata indexed
[l]Academic67%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References3 refs○Minimum 10 references required
[w]Words [REQ]3,702✓Minimum 2,000 words for a full research article. Current: 3,702
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18992710
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Navigation and Path Planning: Indoor Mapping, Obstacle Avoidance, and Social Space Awareness for Humanoid Robots

Posted on March 13, 2026March 13, 2026 by
Engineering Research
Engineering Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18992693  52stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted67%○≥80% from verified, high-quality sources
[a]DOI67%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed67%○≥80% have metadata indexed
[l]Academic67%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References3 refs○Minimum 10 references required
[w]Words [REQ]1,693✗Minimum 2,000 words for a full research article. Current: 1,693
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18992693
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

Autonomous navigation in human-shared indoor environments requires a humanoid robot to simultaneously solve geometric path planning, dynamic obstacle avoidance, and social space compliance — a hierarchical problem spanning global route discovery, local collision-free motion, and implicit human comfort modelling. This article presents the navigation subsystem for the Open Humanoid platform, cove...

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Engineering Research by Oleh Ivchenko DOI: 10.5281/zenodo.18992693 52stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted67%○≥80% from verified, high-quality sources
[a]DOI67%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed67%○≥80% have metadata indexed
[l]Academic67%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References3 refs○Minimum 10 references required
[w]Words [REQ]1,693✗Minimum 2,000 words for a full research article. Current: 1,693
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18992693
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
Open HumanoidRead More
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