Knut Åkesson, Professor

AutomationElectrical Engineering

10/24/2018 Chalmers 2

• Energy Optimization of Industrial Robots

• Systematic Testing of Cyber-Physical Systems

• Verification and Synthesis of Autonomous Systems

• Configuration and planning of Production Systems

• Automated Refusal Sorting and Retrieval

• Collaborative Robots

• Smart Assembly

• Computer Vision and Machine Learning

Automation in a Broad Sense

10/24/2018 Chalmers 3

Production

Systems

Lab

10/24/2018 Chalmers 4

• Petter Falkman <petter.falkman@chalmers.se>

• Kristofer Bengtsson <kristofer.bengtsson@chalmers.se>

• Knut Åkesson <knut@chalmers.se>

• Bengt Lennartson <bengt.lennartson@chalmers.se>

• Martin Fabian <fabian@chalmers.se>

MScThesis Supervisors/Examiners

10/24/2018 Chalmers 5

MScThesis Projects…

10/24/2018 Chalmers 6

Smart Factory (http://www.smartafabriker.se/)

10/24/2018 Chalmers 7

Smart Manufacturing Thesis Projects

• Using AR for Device Maintenance

• Blockchain in Transport Operations

• Image Recognition

• Machine Learning to detect anomalies in network data

• Predictive Maintenance using Machine Learning

• Utilizing AR for guidance and IR tracking for quality assurance

in manual assembly

10/24/2018 Chalmers 8

Zenuity - Logical correctness of Autonomous

Driving SoftwareWith the recent developments in Autonomous Driving, the automotive industry has

become increasingly dependent on computer and software systems. Autonomous

features and control functions are distributed over several units and are responsible for

numerous safety critical actions. An unintended software behavior / control action in

such complex software can threaten the safety of all road users.

One of the biggest challenges in making autonomous driving scalable is to develop a

reliable software that fulfills safety requirements in all kinds of complex driving

scenarios. A significant step in that direction is to provide formal models, techniques and

tools that can guarantee correct functioning of complex software.

The thesis is focused on developing a mathematical model of specific safety critical

software components used in autonomous driving to be able to formally verify

correctness.

10/24/2018 Chalmers 9

Volvo GTO – Engineering Toolchain for

production systemsThe tasks for the master thesis work will be to use the methods and tools developed in the

ENTOC project and make re-design of an existing production cell and evaluate results. The

product is a Front Lid, a sheet metal component (BIW) for cabs, produced in an automated cell

with industrial robots. The main scope of this thesis is to test and evaluate the requirements

engineering approach developed in the ENTOC project, which is based on AutomationML to

make a formalized definition of the system. It also includes virtual model and simulation.

The assignment of this thesis includes:

• Define the requirements for the new cell, and model those using the ENTOC tools.

• Build a virtual model of new cell, taking into account the new requirements.

• Analyze how to meet the production capacity demands, and set up the layout.

• Simulations and analysis of production sequences etc.

• Evaluate the methods and tools used in the demonstrator case

10/24/2018 Chalmers 10

Sony AI Initiative• Computer Vision – Deep recommendation

• Computer Vision – DNN for 3D Creator

• Sketch – Deep recommendation

• Using Deep Q Using Deep Q – Learning (Alpha-Go algorithm) to solve

routing problems in warehouse logistics

• Visual AI - Detect and Track

• Visual AI - Orbital AI

• Efficient IoT Security protocols

• Visual Positioning for Industrial AI

• Data compression for cellular IoT

• Privacy Beyond GDPR