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LOVOT vs Spot

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Quick verdict

Spot leads on 7 of 11 comparable rows

LOVOT leads on Readiness Score, Price, Social Interaction, and Home Navigation. Spot leads on Reality Score, Speed, Battery, and Countries (+3 more).

Who should choose which?

LOVOT
Choose LOVOT if…
  • You want higher readiness (91/100 vs peers) for near-term home use.
  • Budget is a priority and LOVOT lists lower ($3,850+).
  • 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.
Spot
Choose Spot if…
  • Your main goal is home assistant, which Spot targets directly.
  • Strengths like mobility and perception match how you plan to use it at home.
Performance
Readiness Score
91
58
Reality Score
89
93
Data Freshness
100%
100%
Speed1–2 km/h5.8 km/h
PayloadUnknown14 kg
Specs
Height43–45 cm61 cm
Weight4.6 kg33.8 kg
Battery30–45 min1.5 h
FormAnimal-likeAnimal-like
Availability
Price$3,850+$74,500+
Market StatusBuy NowLimited
AvailabilityLimitedLimited
CountriesJapanUnited States, United Kingdom, Canada, Germany, Japan, Australia, Singapore
Intelligence
Mobility
72
96
Manipulation
10
48
Perception
90
90
Autonomy
84
88
Social Interaction
98
12
Home Navigation
78
72
SensorsHorn 360° camera, front camera, depth camera, illumination, temperature/humidity, posture, ranging, obstacle, touch sensors across body5× stereo camera pairs (360° vision), IMU, joint encoders; optional Spot CAM+, LiDAR, thermal payloads
ConnectivityWi-Fi, Bluetooth, infrared, NFCWi-Fi, Ethernet (payload-dependent); tablet controller link
EcosystemLOVOT mobile app; Nest charging dock (LN110); LOVOT care monthly subscription (required); Interchangeable fashion and horn accessories; Family sharing and home mappingSpot SDK (Python); Autowalk mission recording; Orbit fleet management; Spot Arm (optional); Spot CAM+ / LiDAR payloads; Scout software for inspection
Green cells mark the stronger value in each row across 2 robots.