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Meet our new Robohub volunteer: Shaunak Kapur

We are happy to dedicate this post to our new volunteer: Shaunak Kapur. Shaunak is a soon-to-be senior in high school (Texas), and he has been captivated by robotics from a young age. He has participated in numerous robotics competitions (namely VEX and FRC), pursued robotics/engineering internships and robotics-based research projects, and even worked to develop robot products in medical applications that aid individuals with motor skill impediments.

Shaunak’s volunteering role will be to summarize the most exciting news in robotics that comes up, either in academia or industry.

If you are interested in his impressive skills and experience at his young age, you can check out his CV below. Welcome to our community, Shaun!

A catalog of robotics-related books (+ call for holiday season suggestions)

Robot On A Book Shelf

The Women in Robotics network is putting together an open catalog of books related to robotics and technology. Whether you would like to share your own collection with the community, or you just want to find your next read or the perfect holiday season gift (let’s be honest, we all love robots, and we want everyone to love robots), this is a great place to start.

Current titles on the catalog include Frankenstein (Mary Shelley), Uncanny Valley: A Memoir (Anna Wiener) or Sex, Race, and Robots – How to Be Human in the Age of AI (Ayanna Howard). You can access the catalog through this link. And if you would like to contribute with a book suggestion, you can use this form to send it.

Making sense of vision and touch: #ICRA2019 best paper award video and interview

PhD candidate Michelle A. Lee from the Stanford AI Lab won the best paper award at ICRA 2019 with her work “Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks”. You can read the paper on arxiv here.

Audrow Nash was there to capture her pitch.

And here’s the official video about the work.

Full reference
Lee, Michelle A., Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, and Jeannette Bohg. “Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks.” arXiv preprint arXiv:1810.10191 (2018).

How to build a robot – the creative way

Here’s a cute video about how UK-based Rusty Squid designs robots. Rusty Squid is a studio for experimental robotic engineering and design, working within the contemporary arts.

David McGoran, Creative Director says “We explore the design space before committing to sensors and autonomous behaviour. During the design process, we created our own bespoke tools to effectively communicate with engineers, artists and designers. One of the bespoke tools featured in How We Build a Robot is called the Story Machine; we use it for, what we call, ‘Relationship Design’.”

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