What we're about
Upcoming events (2)
*** This will be an in-person, networking, and social event. Please RSVP for catering purposes. ***
Many soft fruit are still picked by humans. Can a robot do it instead?
In the first half of this talk lets look at the technical requirements, heavily drawing from this 2010 paper (https://core.ac.uk/reader/38943040).
Once we have defined the task requirements, lets ask: Is reinforcement learning up to the task? If it can't do it in a simulator, then it can't do it in the (more expensive) real world. Since no simulator exists, lets build one.
The second part of this talk will share the experience of building a simple pybullet simulator for apple picking. The simulator is basic but includes a random tree, and a robot that must navigate around the branches using a camera.
The code for the simulator will be released on github, in an unpolished form, for anyone who wants and is brave enough to use it.
Finally, we will brainstorm about why it didn't work. This part will likely have some good suggestions or at least some good heckling.
Mike has a MSc from Victoria University and a BSc (Hons) in Physics from the University of Canterbury in New Zealand. Before working in machine learning Michael Clark worked in oil and gas. He now works as a director at Three Springs Technology who focus on world class machine learning for medical imaging.
5.30 pm networking
6.00 pm Welcome and presentation
6.45 pm continue networking (snacks and beverage will be served)
8.00 pm event finishes, we hope to see you in the future event
Thanks to Three Springs Technology for sponsoring food and drinks for this non alcohol event.
*** This will be an in-person event on TUESDAY evening. Please provide your full name for contact tracing purposes. ***
5.45 pm networking
6.00 pm Welcome and presentation
7.00 pm Networking
7.45 pm Event ends
This presentation discusses the flip-side of my February presentation topic, “Does anybody own intellectual property rights in a robot’s creations?”. This time, let’s discuss whether a robot can infringe on someone else’s intellectual property rights.
Machine learning requires data or content input for learning to occur. What if that content is the subject of intellectual property protection?
This presentation will discuss the implications, and how to navigate through this emerging legal issue.
David Wilson is the founder and principal of Stratocumulus Legal, a newly established legal consultancy with a particular focus on intellectual property, technology and related fields.
Prior to commencing Stratocumulus Legal in May 2020, he had 20-odd years’ career experience at international law firms, building up a significant breadth of legal experience as an intellectual property and technology lawyer, a commercial disputes practitioner, a generalist commercial legal advisor and an in-house counsel for a two-year period on secondment to a major Japanese corporation in Tokyo.
Across his career, David has advised on the subsistence, proprietorship, exploitation, licensing, assignment and infringement of intellectual property rights including copyright and moral rights, patents, trademarks, domain names and business names, designs, confidential information, trade secrets and data. He has undertaken this work across a range of sectors, including software and IT. His legal interests include the law and new technologies, such as automation and 3D-printing.