Siemens Corporate Design PowerPoint-Templates€¦ · Restricted © Siemens AG 2017 ... •Programming is up to 100x faster for force-controlled tasks •Generates native robot script,

Advanced RoboticsZachi Mann

Realize innovation.Restricted © Siemens AG 2017

( not Gil Chen )

Restricted © Siemens AG 2017

2017.05.09Page 2 Siemens PLM Software

My history with robots began in the 1980s



New robots are coming



Classic industrial robots are not (yet?) going away


2017.MM.DDPage 5 Siemens PLM Software

Background

Deep

Learning

Sensors



What do we look for?

1-5 years for Productization

Major business

opportunities

Leveraging our knowledge

Significant value to

customers

Challenging problems



Agenda

• Background (already covered)

• Ongoing projects

• Robotics for Assembly

• Human-Robot Collaboration

• Teams Collaboration/VR

• Automated Guided Vehicles (AGVs)

• Intuitive Robot Grasping

Robotics Assembly




The ArtiMinds Robot Programming Suite (RPS)

Robots easy programming

• ArtiMinds RPS is a software to easily program robots in 3 steps

• Online & offline robot programming, including collision-free path planning

• Highlight is easy programming of force-controlled tasks

• Programming is up to 100x faster for force-controlled tasks

• Generates native robot script, directly executed on the controller



Example Electronics assembly

Inserting memory modules



Demo: Siemens Logo Box Assembly

Human - Robot Collaboration




Safety



Human Robot Interaction Risk Assessment

• Validate and Optimize Cobots processes

• Ensure process is safe and meets standards

• Minimize expensive physical safety tests

• Avoid production line shutdown for safety tests



Workflow

Design Station

Plan Process

Generate Working

Envelopes

Run Analysis

Analyze Results

Improve Process

Reduce Risk



Workflow

Design Station

Plan Process

Generate Working

Envelopes

Run Analysis

Analyze Results

Improve Process

Reduce Risk



Demonstration



What’s Next?

Teams Collaboration




The need - Collaboration and Engineering Reviews

Design / Manufacturing / Quality Engineers meet to

discuss engineering issues • Traditional way

File based communication

F2F or web meetings

Visualizing 3D content on 2D screens

Challenges

No solution for real time remote collaboration

Time & travel cost

Limited visualization and sense of realism



Process Simulate Collaboration Platform

Process Simulate

Process Simulate

Process Simulate

Process Simulate

RE

ST

AP

I (HT

TP

/S +

JS

ON

)

. . . . . . .



Solution – Process Simulate Collaboration



AR/VR Market



VR Use Cases and Values

Use Cases

• Engineering reviews

• Safety analysis and validation

• Layout planning

• Process validation

• Human visibility, reachability and ergonomics

• Training

• Realistic validation by process planner

Values

• Low cost remote collaboration

• Better understanding of constraints

• Quicker issue resolution

• Online change management

• Improved worker safety

• Bridge barriers between departments

• Leverage experts skill sets across all sites



Workflow

Collaboration between

users

Interact with PS inside VR

Review in VR

Click a command to load same data in VR

HW

Load data to PS



Functionality

Guide Robot

Move Objects

HighlightPlay

SimulationFlashlightMeasureTeleport



Demonstration



Release in a Month!

TX142017 2018

OctMay Jun Jul Aug Sept Jun Jul Aug SeptFebNov Dec Jan AprMar May

TX14.1

TX14.0.1



Roadmap: Intuitive Global Collaboration



AR for Training/Work Instructions/Repair/Maintenance



Augmented Reality

Automated Guided Vehicles - AGVs




Key Challenges

How many AGVs are required to meet production requirements?

How many battery charging stations are required? Where?

Transport strategies

Physical verification and optimization

Track and trackless systems



Intuitive Grasping




Data is stored in form of training examples

Can a robot learn how to grasp objects?

Training the artificial brain



Neural network learns from evaluated situations

Mesh objects

Grasping position

Label of grasp

(0-100 | bad-good)

Deep neural network



Bringing Robotic Intelligence to Process Simulate

Objects mesh

Optimal

grasping positions

RobIn(Robotic Intelligence)

PS(Process Simulate)


20YY.MM.DDPage 40 Siemens PLM Software



Next steps: bringing Robotic Intelligence

directly to the shop floor

Objects mesh\scan

Optimal

grasping positions

RobIn(Robotic Intelligence)

Robot for

pick and place

Unrestricted © Siemens AG 2016

2016-11-07Page 42 Siemens PLM Software

Thank You

Questions?

Zachi Mann

Robotics 4.0 R&D Lead

Siemens Industry Software (IL) Ltd

Airport City

Israel

E-mail:

[email protected]

siemens.com

mailto:[email protected]

Siemens Corporate Design PowerPoint-Templates€¦ · Restricted © Siemens AG 2017 ... •Programming is up to 100x faster for force-controlled tasks •Generates native robot script,

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