Robohub.org
ep.

068

podcast
 

Multi-robot teams with Vijay Kumar and Daniel Mellinger

GRASP Lab         

by
31 December 2010



share this:

Happy New Year from the whole Robots Podcast team! Don’t miss our amazing holiday robot videos!

For this last episode of 2010 we look at multi-robot teams and impressive quadrotor capabilities with Vijay Kumar from the GRASP Lab at the University of Pennsylvania and one of his PhD students, Daniel Mellinger.

Vijay Kumar

Vijay Kumar is Professor at the GRASP Lab and Associate Dean for Academic Affairs in the School of Engineering and Applied Science at UPenn.

As an expert in networked multi-agent systems, he’ll be telling us how he sees robot teams of tomorrow being deployed in real-world missions. Challenges include keeping the robots networked, selecting the right level of autonomy and figuring out how to deal with large swarms of heterogenous robots.

Among the robots he sees doing team work are flying robots including quadrotors that use SLAM to get around or that can perform impressive aggressive maneuvers.

Daniel Mellinger

Daniel Mellinger is a PhD student at the GRASP Lab. He’s a rising star in dynamic control and has been featured in the media and on YouTube for his work with quadrotors passing through hoops and performing amazing motions.

We also speak about his latest work on transporting large objects using cooperative teams of quadrotors. This work got him the best paper award during the recent International Symposium on Distributed Autonomous Robotic Systems at EPFL.

Links:


Latest News:
For a review of 2010 in robotics, have a look at the Robots Forum!



tags: ,


Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.
Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.





Related posts :



Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.

Robot Talk Episode 118 – Soft robotics and electronic skin, with Miranda Lowther

  25 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Miranda Lowther from the University of Bristol about soft, sensitive electronic skin for prosthetic limbs.

Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Robot Talk Episode 117 – Robots in orbit, with Jeremy Hadall

  11 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Jeremy Hadall from the Satellite Applications Catapult about robotic systems for in-orbit servicing, assembly, and manufacturing.

Robot Talk Episode 116 – Evolved behaviour for robot teams, with Tanja Kaiser

  04 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Tanja Katharina Kaiser from the University of Technology Nuremberg about how applying evolutionary principles can help robot teams make better decisions.

AI can be a powerful tool for scientists. But it can also fuel research misconduct

  31 Mar 2025
While AI is allowing scientists to make technological breakthroughs, there’s also a darker side to the use of AI in science: scientific misconduct is on the rise.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence