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Tron 1

Tron 1

TRON 1 by LimX Dynamics is a modular multi-modal biped robot with Point-Foot, Sole, and Wheeled modes, open SDK, Python support, and advanced motion control for robotics research.
Available
China
Bipedal
2024
Specifications
Dev Doc
Website
Made by
Limx Dynamics Technology Co.,Ltd.
Software Type
Closed Source
Software Package
Open SDK with Python support. High-performance motion control algorithms. One-click Sim2Real deployment tool. Compatibility with NVIDIA Isaac, Mujoco, Gazebo simulators. Automatic hardware recognition and software adaptation.
Actuators
TRON 1 uses in-house developed joint actuators rated at 48 V, providing 30 Nm continuous torque and 80 Nm peak torque, enabling smooth, powerful, and precise joint movements.
Compiute
Equipped with a 12th Gen Intel i3 processor, 16 GB RAM, and 512 GB SSD, TRON 1 supports real-time control, AI processing, and data storage for advanced robotics applications.
Sensors
Includes an RGBD camera for 3D perception and an IMU for inertial measurement, providing balance and environment awareness.
Max Op. time
120
mins
15,000

Robot Brief

TRON 1 by LimX Dynamics is the world’s first multi-modal biped robot, designed as a versatile research and development platform for humanoid robotics. It features a unique “Three-In-One” modular foot-end design that allows users to switch seamlessly between three locomotion modes: Point-Foot for simple legged control, Sole for humanoid walking, and Wheeled for enhanced all-terrain mobility. This flexibility makes TRON 1 ideal for exploring a wide range of robotic motion control algorithms and embodied intelligence research. Equipped with high-performance joint actuators, advanced motion control algorithms, and an open SDK, TRON 1 supports both model-based and learning-based robotics development. It enables full-process Python development and one-click Sim2Real deployment, accelerating reinforcement learning research. With quick assembly/disassembly, automatic hardware recognition, and software adaptation, TRON 1 offers a user-friendly experience for beginners and experts alike. Its robust hardware and software ecosystem, compatible with simulators like NVIDIA Isaac, Mujoco, and Gazebo, make it a premier testbed for academic, industrial, and educational robotics innovation.

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Use Cases

TRON 1 autonomously performs bipedal locomotion in humanoid walking mode, simple legged control in point-foot mode, and fast wheeled movement for all-terrain navigation. It facilitates research in motion control, reinforcement learning, and embodied intelligence by providing a flexible hardware platform with modular foot-ends and advanced software tools. The robot supports rapid algorithm development, testing, and real-world deployment with ease.

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Industries

  • Academic Research: Enables advanced studies in humanoid locomotion and embodied intelligence.
  • Industrial R&D: Supports development of robotic motion control and reinforcement learning.
  • Education & Training: Provides a hands-on platform for robotics programming and algorithm validation.
  • Robotics Software Development: Offers open SDK and simulation compatibility for software innovation.
  • Cross-Disciplinary Innovation: Facilitates research across AI, control theory, and mechanical design.

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Specifications

Length
392
mm
Width
420
mm
Height (ResT)
mm
Height (Stand)
mm
Height (Min)
mm
Height (Max)
845
mm
Weight (With Batt.)
kg
Weight (NO Batt.)
20
kg
Max Step Height
150
mm
Max Slope
+/-
15
°
Op. Temp (min)
°C
Op. Temp (Max)
°C
Ingress Rating
No items found.

Intro

TRON 1 stands approximately 845 mm tall, with dimensions 392 x 420 x 845 mm (L x W x H), and weighs about 20 kg. It features:

  • Three interchangeable foot-end modules: Point-Foot, Sole, and Wheeled
  • Modular design enabling quick assembly/disassembly and hardware recognition
  • Aluminum alloy and industrial plastic construction for durability
  • High-performance joint actuators rated at 48 V, 30 Nm continuous torque, 80 Nm peak torque
  • Onboard computer with 12th Gen Intel i3 CPU, 16 GB RAM, and 512 GB storage
  • RGBD camera and IMU sensors for perception and balance
  • Load capacity of 10 kg (up to 15 kg max)
  • Movement speeds: <1 m/s in Point-Foot and Sole modes, ≥5 m/s in Wheeled mode
  • Maximum climbing angle ≥15° and obstacle height up to 15 cm
  • Open SDK supporting Python development and one-click Sim2Real deployment
  • Compatible with NVIDIA Isaac, Mujoco, and Gazebo simulators.

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Connectivity

  • WiFi (2.4 GHz and 5 GHz)
  • USB ports
  • Ethernet port
  • Expansion ports for peripherals like cameras, robotic arms, and LiDAR.

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Capabilities

  • Multi-modal locomotion: legged walking, simple leg control, and wheeled mobility
  • High-torque joint actuation for stable and dynamic movements
  • Fast mode switching with automatic hardware and software adaptation
  • Advanced motion control algorithms for efficient operation
  • Support for reinforcement learning and embodied intelligence research
  • Environment perception with RGBD camera and IMU for balance and navigation
  • Load handling up to 10-15 kg
  • Compatible with popular robotics simulation platforms.

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