Robohub.org
 

Video: The future of robotics, as seen by roboticists


by
22 August 2014



share this:

At Automatica 2014 in Munich this year, the ECHORD++ project asked roboticists like Vijay Kumar, Uwe Haass, Pere Homs, and Christian Schlegel one simple question: “What do you think is the future of robotics?” Find out just how bright they think the future of robotics will be in this video.

Project ECHORD++

The aim of ECHORD++ is to strengthen knowledge transfer between scientific research and industry in robotics and to stimulate their cooperation. ECHORD++ is a joint project of Technische Universität München (project coordinator), Blue Ocean Robotics, Bristol Robotics Laboratory, Commissariat à lÉnergie Atomique et aux Énergies Alternatives, R.U. Robots, Scuola Superiore SantAnna and Universitat Politècnica de Catalunya.

If you liked this article, you may also be interested in these ECHORD interviews on academic and industry collaboration:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: , , ,


Robohub Editors





Related posts :



Learning robust controllers that work across many partially observable environments

  27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

Human-robot interaction design retreat

  25 Nov 2025
Find out more about an event exploring design for human-robot interaction.

Robot Talk Episode 134 – Robotics as a hobby, with Kevin McAleer

  21 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Kevin McAleer from kevsrobots about how to get started building robots at home.

ACM SIGAI Autonomous Agents Award 2026 open for nominations

  19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.

Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight

  14 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Heather Knight from Oregon State University about applying methods from the performing arts to robotics.

CoRL2025 – RobustDexGrasp: dexterous robot hand grasping of nearly any object

  11 Nov 2025
A new reinforcement learning framework enables dexterous robot hands to grasp diverse objects with human-like robustness and adaptability—using only a single camera.



 

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