Robotics and Automation | Technologies of Today and Tomorrow

Fri 12 May 10am — 12pm

We've brought together some clever individuals from the robotics field to look at where the technology is at and where it’s taking us.
Ticket price: 0

All prices shown are in New Zealand dollars and inclusive of GST.

The future is here! Come explore the fourth industrial revolution and find out more about robots, drones and machine learning. From 10-11am we'll be hosting a panel discussion with experts from the industry around how robotics, IoT and data is impacting us – we'll look at new business opportunities, the need for new skills, and changing educational requirements for children and adults. Then, from 11-12pm our in-house expert Mohsen Pashna and guests from the panel will host an expo. You’ll be able to get hands on with smart home IoT configurations, the TensorFlow engined wayfinder two-wheeled robo, brain controlled mobile robot, remote controlled robotic arm, and a machine-learning based robotic arm.


Farhad Mehdipour has a PhD in Computer Systems Architecture. He has participated in many joint projects with the industry in Japan and has initiated several interdisciplinary R&D projects - particularly on IoT-enabled smart cities and systems as well as data analytics.
Grant Carter heads up robotics in NZ for global power and automation company ABB. He works to deliver creative solutions by combining local skilled engineering expertise with world leading tech. Bringing together suppliers, integrators and end users, Grant fosters innovation and collaboration.
Kashyap Chandrasekar currently manages the Robotics Technology Centre for Crown Equipment. With more than a decade of experience in pioneering organisations, he has his finger on the pulse of robotics and autonomous vehicles.
Mohsen Pashna has a PhD in swarm robotics and the formation of algorithms of mobile sensor networks. He has been part of many projects in the field and has invented strategies for mobile robot configurations used in autonomous tracking of hard-to-predict objects like algae and rain forest fires.
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