Robotics

Robotics - Engineering Solutions - Physical Modeling, Model Based Design, System Level Modeling, Model Based Development - Maplesoft

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Engineering Solutions
for Robotics Research

Reduce development risk for your robotics design projects
while bringing your products to market faster

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Robotics Whitepaper: Developing a Robot Model using System-Level Design Robots, once the stuff of dreams, are now a pervasive and integral part of our lives.

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With the complex interconnections between mechanical and electrical components and the difficulties inherent in multibody modeling problems, experience, skill, and the right tools are all required to bring your robotics projects in on time and on budget. Whether your application is solving the system’s inverse kinematics and dynamics, motion planning, control design, contact modeling, component sizing, or hardware-in-the-loop testing, Maplesoft can help. Maplesoft Engineering Solutions provide you with the expertise and tools you need to reduce development risk and bring high-quality products to market faster.

Maplesoft Engineering Solutions support:

System-level validation of robotics designs

Unparalleled flexibility and control of models through revolutionary multibody technology
Optimized model code for in-the-loop simulations
Analysis and design calculation tools
Analytic solutions to inverse kinematic and inverse dynamic problems

Products

MapleSim

Advanced System-Level Modeling

Maple

A complete, rapid solution development environment

Maple Flow

Math Software for Engineering Calculations

MapleMBSE

An Excel-based tool that makes systems engineering easier.

Maplesoft Services

The expertise and technology you need to meet your project requirements quickly and effectively

MapleSim CAD Toolbox

Investigate how your mechanical models will behave when part of a larger system by incorporating your CAD models into MapleSim's multidomain, system-level modeling environment.

MapleSim Battery Library

The MapleSim Battery Library allows you to incorporate physics-based predictive models of battery cells into your multidomain system-level models.

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