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Limx Dynamics Oli
Limx Dynamics Humanoid Specs-based review

Limx Dynamics Oli EDU

Full-size research humanoid with open SDK and LLM support

57.2* out of 100
Average
$65,249
Released 2025
Partial score — based on publicly available specifications. Hands-on subcategories pending physical testing.
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Overview

The LimX Dynamics Oli EDU is a full-size research humanoid standing 1.65 m and weighing ~55 kg. With 31 degrees of freedom, a fully open SDK, onboard LLM support, and multi-stream sensor fusion, it targets university labs and AI research teams. A hot-swappable 9500 mAh battery provides ~1.5 h of operation. Backed by NIO and available globally at $65,249.

Score Breakdown

510 Mobility & Performance 5.7 Intelligence & Autonomy 7.0 Build Quality & Hardware 7.0 Value for Money 4.3 Developer Experience 7.5 Ecosystem & Platform 2.6
Mobility & Performance 57%
Max Speed
~1.4 m/s 6/10
Payload Capacity
~3 kg 5/10
Battery Life
~1.5 h 6/10
Terrain Adaptability
Pending hands-on
Category weight: 19%
Intelligence & Autonomy 70%
AI Capabilities
Pending hands-on
Sensor Suite
RealSense + IMU + opt. LiDAR 7/10
Autonomous Navigation
Pending hands-on
Task Learning
Pending hands-on
Category weight: 20%
Build Quality & Hardware 70%
Durability & Materials
Modular design 7/10
Degrees of Freedom
31 DOF 7/10
Safety Features
Pending hands-on
Category weight: 15%
Value for Money 43%
Price / Performance Ratio
$65,249 4/10
Warranty & Support
Research support 6/10
Market Availability
Global 6/10
Category weight: 32%
Developer Experience 75%
SDK & APIs
Fully open SDK 8/10
Documentation & Community
Growing 7/10
Category weight: 9%
Ecosystem & Platform 26%
App Marketplace
No app store 1/10
Ecosystem Maturity
Open SDK + LLM 5/10
Category weight: 5%

Available skills 1

Technical Specifications

Height 1.65 m
Weight ~55 kg
DOF 31
Max Speed ~1.4 m/s
Battery Life ~1.5 hours
Arm Payload ~3 kg
Sensors IMU, Intel RealSense, industrial cameras, optional LiDAR
OS Ubuntu / ROS2
Connectivity Wi-Fi, Ethernet

Pros & Cons

Strengths

  • Fully open SDK with onboard LLM and multi-sensor fusion support
  • Hot-swappable battery for continuous operation
  • Modular hardware design for fast maintenance and iteration
  • ROS2 compatible with strong developer toolchain
  • Backed by NIO — solid funding and R&D roadmap

Weaknesses

  • High price at $65,249 for the EDU configuration
  • Lower arm payload (~3 kg) compared to some competitors
  • Community and documentation still growing
  • Walking speed modest at ~1.4 m/s
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Specs-based analysis — score derived from manufacturer data. How we score

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