Where are we located?

Department of Mechatronics Engineering, University of Engineering & Technology, Peshawar Sector B3, Phase 5, Hayatabad, Peshawar, 25000, KPK, PAKISTAN.

Is this going to be a virtual event?

No, ICRAI 2023 will be held in a physical gathering subject to strict Covid-19 restrictions.

Who is organizing this event?

National Centre of Robotics and Automation and Department of Mechatronics Engineering, UET Peshawar

Workshops - ICRAI 2023

Workshops

Note: Following workshops are schedule for ICRAI-2023.

Workshop # 1

Workshop Title: 3D Printable Design and 3D Printing

Resource Person: Dr. Shahzad Anwar,Mr Momin Nadeem Awan,Engr Ihtisham Ul Haq

Affiliation & Address:

Dr. Shahzad Anwar

Associate Professor,Department of Mechatronics Engineering,UET Peshawar,Peshawar,Pakistan.

Mr Momin Nadeem Awan

National Center of Artificial Intelligence, UET Peshawar.

Engr Ihtisham Ul Haq

National Center of Artificial Intelligence,UET Peshawar.

Workshop Duration: 4 hours (3 days)

Workshop Briefing: This training will develop the 3D designing and printing skills of the students. Quick prototyping through 3D designing and 3D printing. The training will flourish the student’s thought process required 3D designing and the steps and procedures involved in 3D printable designing.
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Workshop # 2

Workshop Title: Robot Vision and Edge AI

Resource Person: Dr. Muhammad Haroom Yousaf, Muhammad Naeem Mumtaz, Muhammad Saad Saeed

Affiliation & Address:

Muhammad Haroon Yousaf

Professor, Computer Engineering Department UET Taxila.

Director, Swarm Robotics Lab, NCRA,UET Taxila. [email protected]

Muhammad Naeem Mumtaz Awan

Research Associate Swarm Robotics Lab, NCRA, UET Taxila.

[email protected]

Muhammad Saad Saeed

Research Associate Swarm Robotics Lab, NCRA, UET Taxila.

[email protected]

Workshop Duration(max upto 4 hours): One-Day ~ 4-5 hours (03 Sessions)

Workshop # 2

Workshop Briefing: The main objective of this workshop is to introduce the community to conceptual as well as practical knowledge of Computer Vision on various robotic platforms like Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs). The trainers will not only introduce the audience with different edge platforms for robot vision but also show the real-time demonstration of application deployment on these edge platforms e.g. Nvidia Jetson Nano, Nvidia Jeston Xavier, Raspberry Pi, Raspberry Pi with OAK-D kit etc. This workshop has been planned to acquaint the audience with latest tools in Edge Computing for Robot Vision. Initially the attendees will be introduced to the basics of Deep Learning for Computer Vision. Diving deeper, the audience and participants will be equipped with the knowledge of “Edge Computing for Robot Vision” both theoretically and practically. This course will enable participants to prepare custom datasets, train their own custom models, and deploy custom/pre-trained Machine Vision models on Edge Devices. This course will also enable participants to make applications by leveraging the strength of Edge Computing devices.
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Workshop # 3

Workshop Title: Introduction of TRIZ (Theory of Inventive Problem Solving)

Resource Person: Engr. Dr. Sajid Iqbal

Affiliation & Address: PITAC Master Trainer & 684-Nizam Block, Allama Iqbal Town Lahore-54000

Workshop Duration(max upto 4 hours): About 3.5 Hours max

Workshop Briefing: The central premise of TRIZ is “Somebody someplace has already solved this problem or one very similar to it. Creativity is now finding that solution and adapting it to this particular problem.” TRIZ is a problem-solving technique that incorporates different tools to develop specific solutions to complex problems in creative and innovative ways. TRIZ is a systematic approach to eliminate contradictions with innovative solutions in any field of technology. TRIZ tools and approaches can be used to understand and solve ANY problem. As TRIZ Guru Genrich Altshuller rightly said, “You can wait a hundred years for enlightenment, or you can solve the problem in 15 minutes with these principles.” TRIZ led to 50 new patents for Samsung and one project alone, a DVD pick-up innovation, saved Samsung over $100 million. TRIZ is now an obligatory skill set if you want to advance within Samsung. TRIZ, recognized a powerful method for innovation, is embraced by many MNCs: 3M, Siemens, Samsung, Intel, Whirlpool, LG, GE, Boeing, KIA, Hyundai, etc.
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