About Bota Systems
We give machines the sense of touch
Our goal is to provide a key element towards the acceptance and introduction of robots in our daily lives. We envision that interaction between a robot and a human will become safer, easier and amusing. More people will get rid of repetitive tasks and will focus mostly on creative tasks. In recent years, research interest and innovation in robotics have exploded due to the dropping prices of key hardware components, advances in AI technology and the fact that robots have entered a state of sophistication that allows for extended real-life applications with enormous benefits. Robot utilization in the industry used to be an exclusive privilege of large-scale factories due to high acquisition, deployment and maintenance costs. We aim to contribute towards accessibility in automation by developing state of the art sensing solutions for safer interaction with machines.
Bota Systems is composed of experienced engineers in robotics and experts with many years of development of robotic systems and sensors. From Robotic Systems Lab of ETH Zurich.
Feel free to consult Klajd for any force-sensing application. He can help you design your ideal force-sensing solution.
If you would like to integrate a force-sensing solution into your application ask for Ilias. You will notice immediately his long term experience in automation and robotics.
The Team
The Advisors
Serial Entrepreneur
(clean tech, automation, robotics)
Start-Up coach
(FieldX HBS, European Commission)
Venture Capital
Towards a passive adaptive planar foot with ground orientation and contact force sensing for legged robots
R Käslin, H Kolvenbach, L Paez, K Lika, M Hutter
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
ANYexo: A Versatile and Dynamic Upper-Limb Rehabilitation Robot
Yves Dominic Zimmermann, Alessandro Forino, Robert Riener and Marco Hutter
An Omnidirectional Aerial Manipulation Platform for Contact-Based Inspection
Karen Bodie, Maximilian Brunner , Michael Pantic, Stefan Walser , Patrick Pfandler , Ueli Angst , Roland Siegwart and Juan Nieto
Where Should I Walk? Predicting Terrain Properties from Images via Self-Supervised Learning
Wellhausen, Lorenz; Dosovitskiy, Alexey; Ranftl, René; Walas, Krzysztof; Cadena Lerma, Cesar; Hutter, Marco
IEEE Robotics and Automation Letters 4(2)
Haptic Inspection of Planetary Soils with Legged Robots
Kolvenbach, Hendrik; Bärtschi, Christian; Wellhausen, Lorenz; Grandia, Ruben; Hutter, Marco
IEEE Robotics and Automation Letters 4(2)
Low-velocity impact response of smart sandwich composite plates with piezoelectric tranducers: Modeling and experiments
TS Plagianakos, K Lika, EG Papadopoulos
Journal of Intelligent Material Systems and Structures 27 (6), 774-785