Robohub.org
Robots in Depth with Sebastian Weisenburger
In this episode of Robots in Depth, Per Sjöborg speaks Sebastian Weisenburger about how ECHORD++ works, with application-oriented research bridging academia, industry and end users to bring robots to market, under the banner “From lab to market”.
We also hear about Public end-user Driven Technological Innovation (PDTI) projects in healthcare and urban robotics.
This interview was recorded in 2016.
Robots in Depth
is a new video series featuring interviews with researchers, entrepreneurs, VC investors, and policy makers in robotics, hosted by Per Sjöborg.
Robots in Depth
is a new video series featuring interviews with researchers, entrepreneurs, VC investors, and policy makers in robotics, hosted by Per Sjöborg.
Related posts :
Interview with Dautzenberg Roman: #IROS2023 Best Paper Award on Mobile Manipulation sponsored by OMRON Sinic X Corp.
The award-winning author describe their work on an aerial robot which can exert large forces onto walls.
19 November 2023, by
Daniel Carrillo-Zapata
Robot Talk Episode 62 – Jorvon Moss
In the latest episode of the Robot Talk podcast, Claire chatted to Jorvon (Odd-Jayy) Moss from Digikey about making robots at home, and robot design and aesthetics.
17 November 2023, by
Robot Talk
California is the robotics capital of the world
In California, robotics technology is a small fish in a much bigger technology pond, and that tends to conceal how important Californian companies are to the robotics revolution.
12 November 2023, by
Silicon Valley Robotics
Robot Talk Episode 61 – Masoumeh Mansouri
In the latest episode of the Robot Talk podcast, Claire chatted to Masoumeh (Iran) Mansouri from the University of Birmingham about culturally sensitive robots and planning in complex environments.
10 November 2023, by
Robot Talk
The 5 levels of Sustainable Robotics
Robots can solve the UN SDGs and not just via the application area.
08 November 2023, by
Andra Keay
Using language to give robots a better grasp of an open-ended world
By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
06 November 2023, by
MIT News