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CDS

Geometric Constraint and Inverse Kinematics Solver for 2D and 3D Models

Constraint Design Solver (CDS) embeds the full spectrum of geometric constraint intelligence — from parametric sketches and free-form surfaces to constrained assemblies and robot inverse kinematics — in one production-proven, self-diagnosing component your application owns.

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Trusted by leaders in robotics, metrology, and manufacturing

What is CDS?

From Sketch Constraints to Robot Kinematics

CDS is Spatial's 2D and 3D geometric constraint manager and solver: describe your geometry and the rules between it, press solve, and get a valid, fully diagnosed result, from parametric sketches and free-form NURBS surfaces to constrained assemblies and analytical robot inverse kinematics.

Add SpaCD when motion needs collision checks, the Path Planning pilot when it needs an optimal, collision-free route — and you're ready to take a design from constrained sketch to a robot moving safely through its cell.

Built on Dassault Systèmes V5/V6 constraint technology and shipping as native C++ with an official .NET 6 binding and a WebAssembly build path, it drops into the stack you already have.

Your team builds the application; CDS handles the geometry math.

Why Choose Constraint Design Solver?

Comprehensive Functionality

A complete suite of geometry objects coupled with extensive dimensional and logical constraints enable the definition and modification of 2D profiles and relative positioning of 3D assemblies.

High-Performance Solver

A robust, quick and flexible thread-safe solver solves or analyzes under and over-constrained problems with multiple solver options and diagnostic tools.

Rapid and Easy Implementation

Comprehensive interfaces with debugging features and real-time feedback enable you to implement CDS quickly in your applications. Object-oriented design provides clear interfaces for implementing self-contained C++ APIs.

Trusted, Tested Frameworks

Spatial provides essential functionality within a ‘getting started’ application infrastructure for fast implementation.

Enhanced Productivity

CDS drives productivity and decreases time to market by enabling developers to freely concentrate on core competencies without considering the mathematical intricacies of geometric constraint solving.

Key Features of Constraint Design Solver

Geometry Objects

CDS offers diverse geometries for constraint systems, supporting both 2D and 3D representations. These include points, lines, non-uniform rational B-spline curves and surfaces, circles, ellipses, parabolas, hyperbolas, cylinders, cones, spheres and tori.

Geometric Constraints

Assign specific values through various dimensional constraints, including coordinates, distances, lengths, radii, angles, and curvature. Establish relationships between geometric objects with logical constraints such as coincidence, tangency, parallelism, perpendicularity, and symmetry.

Advanced Constraints

CDS enables advanced constraints in your applications, including user-defined expressions and conditions, rigid sets, patterns, joints, and local control of chirality. Achieve any number of degrees of freedom for geometries, facilitating inverse kinematics with planar, revolute, prismatic, cylindrical, spherical, universal, and full DOF joints.

Real-Time Interaction

CDS enables applications to offer real-time manipulation of geometric objects with fast solvers that support interactive model modifications for constraints. If the system is not solvable, CDS provides comprehensive diagnostic information on conflicting constraints.

Quality Assurance Tools

Replay and scripting features, as well as a graphical display environment, ensure debugging ease and fast implementations. Emphasize accuracy with CDS’ quality assurance tools.

Solver Modes and Options

At the core of CDS lies a non-linear simultaneous equation solver, which offers three different types of solving modes: update mode to automatically position geometries in order to satisfy all the constraints; interactive dragging mode, which moves a set of geometries along their degrees of freedom subspace; and simulation mode, which allows geometries to achieve defined target values while satisfying constraints.

Get Started With Spatial

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