Meet The Team

Salman Faraji

CEO
Salman received his PhD in robotics and control from EPFL. He developed walking and manipulation control algorithms for Humanoid robots. He loves building new robots! Since 2003, he has innovated systems for robocup soccer robots, modular-configuration robots and acoustic mill air-gap inspection. A suspended manipulator for open-field agriculture is the latest.
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Adrien Kehlstadt

CCO
Adrien Kehlstadt is a senior executive with extensive experience in strategic leadership and global sales. He has a strong track record of transforming businesses and leading international teams to success. Adrien has launched global sales channels and driven sustainable growth for multiple organizations. He holds two Master’s degrees from the University of St. Gallen.
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Andrés C. Rodríguez

Computer Vision Expert
Andres has 7+ years of experience in Deep Learning for Computer Vision and 2+ years of Entrepreneurship experience in Remote Sensing for sustainability. He received his PhD in Photogrammetry and Remote Sensing from ETH Zürich in 2022 and currently specialises on the development of machine vision models with a strong focus on robustness and uncertainty estimation in Agriculture.
Alessandro

Alessandro Palleschi

Robot Control Expert
Alessandro obtained his Ph.D. and conducted postdoctoral research at the Research Center "E.Piaggio," Università di Pisa. He is expert in autonomous manipulation and planning/control for collaborative robots operating in unstructured environments and multi-robot systems used in logistics applications.
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Lilla Pozsa-Goldmann

Software Intern
Lilla recently graduated with a BSc in Computer Science from ZHAW, bringing a fresh and innovative perspective to the field. During her academic journey she has combined her studies with practical experience, working with robotics companies. As an intern, Lilla is keen to fully immerse herself in the world of robotics and contribute to cutting-edge developments in the industry.
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David Tafler

Embedded AI Intern
David recently graduated with a MSc in a non-consecutive Computer Science program from Bamberg University. His recent work has focused on leveraging foundation models in computer vision to address long-tailed classification and privacy-aware machine learning. During his studies, he also gained practical experience in applying Machine Learning in manufacturing settings. David is passionate about deep learning and is eager to explore its integration with robotics to tackle real-world problems
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Nicolas Döbeli

Master Student
Nicolas Döbeli is a passionate mechanical engineering student specializing in mechatronics and robotics at ETH Zurich. With experience in embedded systems and agricultural robotics, he has a keen interest in sustainability and advanced technologies. Nicolas brings a diverse skill set in programming, system engineering, and project work across various sectors.

Our Advisors

Caroline

Caroline Coquerel Kokocinski

Lead Coach
Caroline received general and specialized Master’s degree, Geographical Information System (GIS), Data-processing and computer sciences, geomatics (1996–1999), Pôle d'Enseignement supérieur et de Recherche agronomique de Renne. Since 2018 she has been a finance expert in Innosuisse Business Creation training (ICT and engineering) and an accredited coach.
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Pascal Dutheil

Financial Coach
Pascal Dutheil has a Master's degree in international management from HEC Lausanne and holds a MBA from INSEAD. He has over 15 years of experience in the private equity and venture capital industry. Pascal has a proven track record in investments, strategic analysis and management of equity participations in companies.

Marco Hutter

Robotics Advisor
Marco is Assistant Professor for Robotic Systems at ETH Zurich, Branco Weiss Fellow and co-founder of ANYbotics. His research interests are in the development of novel machines and actuation concepts together with the underlying control, planning, and learning algorithms for locomotion and manipulation.

Mohsen Moosavi

Deep Learning Expert
Mohsen is an internationally renowned scholar in the field of reliable artificial intelligence. He received his PhD from EPFL in Computer Science and completed a postdoctorate in the Institue for Machine Learning at ETH Zurich. Mohsen is interested in reliable Machine Learning research, in particular robustness of classifiers and its connection to the geometry of deep networks.