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Ballie vs LOVOT

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Quick verdict

LOVOT leads on 7 of 10 comparable rows

Ballie leads on Battery, Mobility, and Home Navigation. LOVOT leads on Readiness Score, Reality Score, Data Freshness, and Manipulation (+3 more).

Who should choose which?

Ballie
Choose Ballie if…
  • You are tracking a prototype platform and do not need a buy box this year.
  • Your main goal is home assistant, which Ballie targets directly.
  • Strengths like home navigation and perception match how you plan to use it at home.
  • You prefer a mobile form factor over the alternatives in this compare.
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.
Performance
Readiness Score
52
91
Reality Score
38
89
Data Freshness
98%
100%
SpeedUnknown1–2 km/h
PayloadUnknownUnknown
Specs
Height20 cm43–45 cm
WeightUnknown4.6 kg
Battery2–3 h30–45 min
FormMobileAnimal-like
Availability
PriceUnknown$3,850+
Market StatusPrototypeBuy Now
AvailabilityPrototypeLimited
CountriesUnknownJapan
Intelligence
Mobility
74
72
Manipulation
8
10
Perception
78
90
Autonomy
70
84
Social Interaction
75
98
Home Navigation
82
78
SensorsSpatial LiDAR, front/rear cameras, IR transmitter, ambient light (inferred from demos)Horn 360° camera, front camera, depth camera, illumination, temperature/humidity, posture, ranging, obstacle, touch sensors across body
ConnectivityWi-Fi, Samsung SmartThingsWi-Fi, Bluetooth, infrared, NFC
EcosystemSamsung SmartThings; Google Gemini; 1080p dual-lens projector; IR appliance control; Samsung mobile app (demos)LOVOT mobile app; Nest charging dock (LN110); LOVOT care monthly subscription (required); Interchangeable fashion and horn accessories; Family sharing and home mapping
Green cells mark the stronger value in each row across 2 robots.