With the Hilti SLAM Challenge, Hilti wants to push the frontiers of current navigation technologies. They challenge the state-of-the-art mapping and localization algorithms and advance them to a state where they can be deployed in real environments. We at Sevensense, believe in this goal and supported them with our Alphasense Core Technology to use for the Challenge Dataset. In this exclusive Interview with Michael Helmberger, we will tell you all the details about this project:
Sebastian joined Sevensense in 2019, after completing his Master's degree in mechanical engineering at ETH Zurich. With his experience in engineering and programming, he knows how to come up with the best algorithms for our robots. He is a valued member of the Localization Team, where he helps our robots with one of their most important tasks: understand their own position in the environment where they operate.
How Schindler is innovating Elevator installation and inspection with intelligent 3D mapping!
How does a world with robots look like and what role does Sevensense play in this development? Together with our team member Roland Siegwart we discussed exciting questions about the future of robotics!
Self-localization is essential for robots to safely navigate in changing environments and achieve full autonomy. By employing cameras for this task together with smart algorithms for building and maintaining maps, autonomy can be provided at a fraction of the costs - be it for the sensor gear itself, as well as operating costs over the robot’s lifetime.
Miguel joined Sevensense in September 2018, being the first employee. With his experience in autonomous racing and the control industry he knows what it takes to make robots work. He initially worked in the planning and control team developing our navigation stack. In 2020 he moved to lead the robotic systems team where he helps our technology shine in our customers robots.
How Kyburz, the international leader for high quality mobility and transport solutions, is tackling the last-mile problem with Sevensense.
Common mobile robots in industry or logistics use 2D laser rangefinders. These 2D LiDARs output very little information about the surroundings - it is sufficient to detect an obstacle at a certain location, but not enough to understand what it is exactly and how to react in a smart way.
At Sevensense, we consider company culture to be something very important. That's why we have initiated some efforts to strengthen it in our company.
How the leading premium department store Jelmoli is driving innovation for its customers' shopping experience with Sevensense technology.
How Wetrok, a company for modern cleaning technology, emphasized it’s leading role in the cleaning industry with Sevensense technology.
Dina joined Sevensense in August 2019 after she completed her PhD in Robotics at the University of Girona in Spain. Now, she is a valued engineer and member of the Planning & Control Team, where she takes care of one of the most challenging tasks at Sevensense: Ensuring that our robots can move and avoid obstacles!