Robohub.org
 

#IROS2020 BiR-IROS: Black in Robotics


by
19 November 2020



share this:
BiR-IROS

The 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) has teamed up with Black in Robotics (website, Twitter) to release a new special series named BiR-IROS: Black in Robotics with the support of Toyota Research Institute. This series consists of three short but powerful videos of roboticists giving personal examples of why diversity matters in robotics, showcasing their research and explaining what got them into robotics.

BiR-IROS: Black in Robotics is available for free through the OnDemand platform until 25 November (located under Technical Talks or at this link). Here’s a list of all the speakers and organisations who took part in the videos:

  • Ariel Anders – Roboticist at Robust.AI
  • Allison Okamura – Professor of Mechanical Engineering at Stanford University
  • Alivia Blount – Data Scientist
  • Anthony Jules – Co-founder and COO at Robust.AI
  • Andra Keay – Robotics Industry Futurist, Managing Director of Silicon Valley Robotics and Core Team Member of Robohub
  • Carlotta A. Berry – Professor of Electrical and Computer Engineering at Rose-Hulman Institute of Technology
  • Donna Auguste – Entrepreneur and Data Scientist
  • Clinton Enwerem – Robotics Trainee from the Robotics & Artificial Intelligence Nigeria (RAIN) team
  • Quentin Sanders – Postdoctoral Research Fellow at North Carolina State University
  • George Okoroafor – Robotics Research Engineer from the Robotics & Artificial Intelligence Nigeria (RAIN) team
  • Tatiana Jean-Louis – Amazon & Robotics Geek
  • Patrick Musau – Graduate Research Assistant at Vanderbilt University
  • Melanie Moses – Professor of Computer Science at the University of New Mexico


tags:


Daniel Carrillo-Zapata was awared his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of "scientific agitation" to engage in two-way conversations between researchers and society.
Daniel Carrillo-Zapata was awared his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of "scientific agitation" to engage in two-way conversations between researchers and society.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 153 – Origami-inspired robots, with Chenying Liu

  24 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Chenying Liu from University of Oxford about how a robot's physical form can actively contribute to sensing, processing, decision-making, and movement.

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

AI system learns to keep warehouse robot traffic running smoothly

  20 Apr 2026
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

Robot Talk Episode 152 – Dexterous robot hands, with Rich Walker

  17 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rich Walker from Shadow Robot Company about their advanced robotic hands for research and industry.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

and   14 Apr 2026
Ross King created the first robot scientist back in 2009. He spoke to us about the nature of scientific discovery, the role AI has to play, and his recent work in DNA computing.

Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri

  10 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring.

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence