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LOVOT vs Moxie

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Quick verdict

LOVOT leads on 6 of 8 comparable rows

LOVOT leads on Readiness Score, Reality Score, Perception, and Autonomy (+2 more). Moxie leads on Battery and Price.

Who should choose which?

LOVOT
Choose LOVOT if…
  • You want higher readiness (91/100 vs peers) for near-term home use.
  • Verified shipping and public proof matter more to you (reality score 89/100).
  • You need a buy now path today while alternatives are still prototype or coming soon.
  • Your main goal is entertainment, which LOVOT targets directly.
  • Strengths like social interaction and perception match how you plan to use it at home.
Moxie
Choose Moxie if…
  • Budget is a priority and Moxie lists lower ($799).
  • Your main goal is education, which Moxie targets directly.
  • Strengths like social interaction and perception match how you plan to use it at home.
  • You prefer a other form factor over the alternatives in this compare.
Performance
Readiness Score
91
76
Reality Score
89
52
Data Freshness
100%
100%
Speed1–2 km/hUnknown
PayloadUnknownUnknown
Specs
Height43–45 cm36 cm
Weight4.6 kg3.34 kg
Battery30–45 min4 h
FormAnimal-likeOther
Availability
Price$3,850+$799
Market StatusBuy NowDiscontinued
AvailabilityLimitedDiscontinued
CountriesJapanUnited States
Intelligence
Mobility
72
Unknown
Manipulation
10
Unknown
Perception
90
82
Autonomy
84
68
Social Interaction
98
94
Home Navigation
78
8
SensorsHorn 360° camera, front camera, depth camera, illumination, temperature/humidity, posture, ranging, obstacle, touch sensors across bodyHD camera, microphones, touch sensors
ConnectivityWi-Fi, Bluetooth, infrared, NFCDual-band Wi-Fi, iOS/Android parent app
EcosystemLOVOT mobile app; Nest charging dock (LN110); LOVOT care monthly subscription (required); Interchangeable fashion and horn accessories; Family sharing and home mappingMoxie Robot parent app; SocialX interaction platform; Sunlight cloud subscription (Moxie Robots Inc.); OpenMoxie community server (optional); Monthly Mission Packs (legacy Embodied program)
Green cells mark the stronger value in each row across 2 robots.