NOKOV Optical Motion Capture System

Seamless Integration for Terrestrial and Celestial Collaborative Control

Advanced Features for Multi-Agent Systems: Swarming and Formation Tactics, Motion Following Algorithms, Autonomous Obstacle Navigation


Multi-Agent Collaborative Control Experimental Platform

Innovation at Beijing Institute of Technology

Pioneering Collaborative Control: Leveraging the NOKOV Optical Motion Capture System, the Beijing Institute of Technology has developed a cutting-edge experimental platform. It facilitates collaborative control research for a heterogeneous array of agents, including UAVs and terrestrial robotic vehicles. Users can test and refine control algorithms while replicating complex military scenarios, such as synchronized air-ground surveillance and autonomous vehicle reconnaissance.

Capabilities of BIT's Multi-Agent Collaborative Control Platform

•    Precision UAV Attitude Control

Customized capture components tailored to user specifications

•    Accurate 3D position and orientation data acquisition

Dynamic Role Allocation for Agents. Optimal formation assembly from random initial positions using real-time NOKOV data. Paves the way for subsequent collaborative experiments

•    Synchronized Air-Ground Operations

Scalable target tracking for extensive motion capture. User-friendly target management for complex simulations

NOKOV Optical Motion Capture System Features

•    Six Degrees of Freedom (6DoF) Motion Capture Data

Collection of 3D spatial XYZ coordinates, Six Degrees of Freedom (6DoF), Yaw, Roll, Pitch, Euler Angles, etc., providing a coherent, smooth database for drone pose control and motion planning.

•    Sub-Millimeter Data Precision

Superior accuracy to the sub-millimeter level, outperforming GPS and other common methods

•    Extensive Secondary Development Interfaces

Data can be transmitted in VRPN format or through an SDK (C++ language) port, enabling communication with software platforms such as ROS, Labview, and Matlab (including Simulink) for further development.

•    Efficient Rigid Body Configuration
In-Depth Case Analysis: Informative Comparisons: Evaluate the performance of optical motion capture versus UWB technology in our research Download Brochure for More Information.
Featured Case Studies

Collaborative Autonomous Construction by UAVs

Orchestrated by the School of Architecture, Tongji University

Real-time 6DoF data integration into flight control for precise local positioning. Strategic trajectory planning enabling synchronized construction tasks.

•    Scholarly Contributions:

Featured publications from Tongji University - "Preliminary Exploration of Autonomous Construction Technology for Discrete Structures Based on UAVs" by Guo Zhe, Lu Ming, Wang Xiang in Architectural Techniques, 2019.09

Autonomous Construction with Drones, Motion Capture, Pose Planning

MARS Series Motion Capture Cameras

  • •    Meeting all-around customer needs. Resolutions ranging from 2.2 to 12 megapixels, frequencies covering from 180Hz to 340Hz comprehensively.
  • •    High precision, low latency, designed specifically for the field of scientific research, it is currently a very cost-effective optical motion capture solution.
  • •    Applicable models: Mars 2H, Mars 4H, Mars 12H
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