Robohub.org
 

Robotics and AI prominent in MIT’s annual 35 Innovators Under 35


by
02 September 2015



share this:
35under35

The MIT Technology Review’s annual list of 35 Innovators Under 35 aims to illustrate the most important emerging technologies of the moment. Released this August, the 2015 list features a number of robotics and AI visionaries. Check them out.

Lars_Blackmore_MIT35Lars Blackmore, Visionary, 34: SpaceX engineer, working on reusable rockets that could be flown back to Earth in reverse.

 

 

Yunji_Chen_MIT35

Yunji Chen, Inventor, 32: designing dedicated deep-learning processors, optimized “to compute the basic blocks of machine learning.”

 

 

Adam_Coates_MIT35

Adam Coates, Visionary, 34: designing artificial intelligence for Chinese search company Baidu, to make the Internet more useful to millions.

 

 

Canan_Dagdeviren_MIT35Canan Dagdeviren, Inventor, 30: working on flexible sensors and batteries for a new class of medical device.

 

 

Travis_Deyne_MIT35Travis Deyle, Inventor, 32: builder of robots that can be powered wirelessly. Now at Google X working on tech to improve health care.

You may remember our Robots Podcast interview with Travis about his research on Finding objects with RFID.

 

 

Rikky_Muller_MIT35Rikky Muller, Entrepreneur, 34: designing the implantable hardware intended to interact directly with the brain and help treat mental disorders.

 

 

Jamie_Shotton_MIT35Jaime Shotton, Inventor, 34: computer visionary at Microsoft Research. Giving computers a new way to see the world.

 

 

Ilya_Sutskever_MIT35Ilya Sutskever, Visionary, 29: pushing the frontiers of deep-learning for the Google Brain.

You may remember the Talking Machines Podcast interview with Ilya about Machine Learning and magical thinking.

 

 

 

Bejamen_Tee_MIT35Benjamin Tee, Inventor, 33: developing medical diagnostic and treatment technologies using a synthetic sense of touch.

 

 

Conor_Walsh_MIT35Conor Walsh, Inventor, 33: working on robots that are soft, lightweight, and flexible so people can wear them to enhance their abilities.

You may remember our Robots Podcast interview with Conor’s colleague Donal Holland about their Soft Robotics Toolkit.

 

 

Melonee_Wise_MIT35Melonee Wise, Entrepreneur, 33: Fetch Robotics CEO wants affordable robots for the warehouse and beyond.

Check out our coverage of Melonee and Fetch Robotics on Robohub.

 

 

 

 

Credit: Illustration by Magoz; Color portraits by Matthew Hollister; black-and-white portraits by Ping Zhu. Source: MIT Technology Review.



tags: , , , , ,


Adriana Hamacher Associate Editor at Robohub and the UK's Knowledge Transfer Network and a contributor to Economist Insights
Adriana Hamacher Associate Editor at Robohub and the UK's Knowledge Transfer Network and a contributor to Economist Insights

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Powered by muscle cells, a paper-thin robot swims through watery maze

  19 Oct 2026
MIT engineers’ new aquabot offers a way to design small, efficient “biohybrid” robots.

Robot Talk Episode 166 – Evolving robot bodies and brains, with Rika Antonova

  16 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rika Antonova from the University of Cambridge about using artificial intelligence to develop complimentary robot hardware and algorithms.

Humanoid robots can sprint and box – but the real test is doing the laundry

  12 Oct 2026
No robot system can yet reliably handle the whole laundry process. Even folding remains a challenge.

Robot Talk Episode 165 – Robots behind the research, with Kushant Patel

  09 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Kushant Patel from Brookhaven National Laboratory about robots that work in scientific facilities, such as particle accelerators.

What three days building a robot taught me

and   07 Oct 2026
The brief sounded simple: build a small autonomous robot, then make it survive increasingly difficult mazes. Simple... right? Until you actually have to build one.

Research could guide the future design of social robots

  05 Oct 2026
Giving robot companions animal-like or anime-style faces and voices could maximise their emotional appeal to users, according to new research which could help guide the growing field of social robotics.

Robot Talk Episode 164 – Accelerating robot learning, with Michelle Lu

  02 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Michelle Lu from Vsim Technology about using simulation and artificial intelligence to teach robots new skills.


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence