Nikita holds a PhD from ETH Zurich focusing on deep reinforcement learning for robotics, and has made significant contributions to academia through numerous publications in the field. He gained industry experience as a research scientist at NVIDIA before co-founding Flexion. As CEO, Nikita leads the company with a clear mission: developing practical humanoid robotics solutions that deliver real-world value.

David holds a PhD in reinforcement learning and has spent more than a decade working on robot learning and simulation. Previously, he managed research at NVIDIA, where he helped build Isaac Gym and Isaac Lab. Today David applies his vast experience and knowledge as the CTO and co-founder at Flexion.

Julian holds a PhD from ETH Zurich with research stays at Meta Reality Labs, NASA JPL, AWS, and the Max Planck Institute. At Flexion, Julian is a co-founder and leads the perception team, working at the intersection of robotic perception, state estimation, and mapping, blending machine learning with classical techniques.

Fabian has a strong and longstanding background in robotics hardware, across various platforms. At Flexion, Fabian is a co-founder and leads the robotics hardware team.

Marco Hutter is a professor of robotic systems at ETH Zurich, director of the RAI Institute Zurich, and co-founder of Flexion. He leverages his deep technical expertise to advise the team on both strategic and technical matters.

Richard holds a PhD in Engineering Science from the University of Oxford and has extensive experience architecting large-scale computer vision services from his tenure as a senior scientist at Amazon. He now applies this expertise at Flexion, where he leads the development of the company's infrastructure and platforms.

Maxime launched his career in venture capital within Insight Partners’ value creation team, working closely with high-growth startups to scale their operations and build effective go-to-market strategies. Today, he applies that experience at Flexion, where he leads financial strategy and operations.

Martina is a product and engineering leader with deep experience scaling robotics products from concept to market, from drones to vision-based localization systems. As Product Lead at Flexion, she shapes product strategy and drives product development.

Korrawe holds a PhD from ETH Zurich with research stays at Meta Reality Labs and the Max Planck Institute. At Flexion, he leads the motion generation team, working on computer vision, robot planning and control, and generative models.

Dylan has experience across automotive, aerospace, and research sectors from his time at Tesla, Kepler Communications, and RSL. At Flexion, he contributes to pushing the limits of reinforcement learning for real-world robotic applications.

Pau has a background in data science and AI, and specialised in robotics and diffusion-based control. At Flexion, he is working on motion generation and human to humanoid retargeting.

Nicolas completed a Master’s in EE with a focus on computer vision, SLAM and 3D reconstruction with Gaussian splatting. At Flexion, he contributes to the perception stack, enabling robots to understand their surroundings for safe, autonomous interaction.

Franz earned his PhD in Computer Science at TU Graz, focusing on learning algorithms and brain-inspired AI. He refined this expertise at Huawei and a stealth AI startup. At Flexion, he drives multimodal agent development and VLM fine-tuning for advanced perception and decision-making.

Joshua has hands-on experience with humanoid robots from his research at the Robotics and AI Institute and ETH Zurich. With a focus on reinforcement learning, he now develops intelligent, adaptive control for our robots.

Alexandru spent several years at Google, where he built up expertise in concurrency, distributed systems, and C++. He's now bringing that deep knowledge to Flexion, where he's developing the core infrastructure and tooling necessary for cutting-edge robotics.

Daniel brings industry experience in real-time systems engineering from both startup and big tech (Meta Reality Labs). Having previously worked on Computer Vision and VR based products, at Flexion, he contributes to the infrastructure and software stack of the robots.

Eugenio holds a PhD in robot learning for manipulation. At Flexion, he focuses on training VLA models to solve dexterous manipulation tasks.

Alberto holds a PhD in reinforcement learning, with a focus on controlling musculoskeletal models of the human body. At Flexion, he is part of the Control team, where he works on motion imitation.

Cailin holds a Master's in Robotics, where she specialized in learning-based manipulation and control. At Flexion, she helps develop control systems that enable humanoid manipulation capabilities.

Daniel completed his PhD in robot learning at the University of Freiburg where he focused on whole-body control and high-level reasoning for mobile manipulation. At Flexion, he leverages his experience in reinforcement learning and hierarchical systems to enable autonomous behaviors.

Pihla has a background in the Swiss start-up and scale-up scene from software and robotics, focusing on business development, go-to-market functions, and revenue operations. At Flexion, she oversees the HR and business operations function, with a dedicated focus on supporting its core asset: the engineering team.

Ayca holds a PhD from ETH Zurich focusing on 3D scene understanding, which included research visits at Google and NVIDIA. At Flexion, she works on 3D perception methods that enable robots to understand and adapt to complex real-world environments.

Harshith has deep technical experience in high-power, digital, and analog electronics design, and holds a Master’s in Power Electronics. At Flexion, he develops advanced power electronics and embedded systems for robotics, building on his prior experience in rocket avionics.

Daniele holds a Master's in Robotics from ETH Zurich, with experience in optimal control and computer vision for autonomous driving. Now, he uses his experience in complex and distributed robotic systems to build and improve Flexion tools and infrastructure.

Philip holds a PhD from ETH Zurich where he focused on developing locomotion and manipulation skills for legged robots in space and in-depth validation. At flexion, he focuses on the development and testing workflow to seamlessly bring our advanced software to real robots.

Mitja is a reinforcement learning engineer with a robotics background from ETH Zurich. At Flexion, he develops and tests learning-based control systems for real robots, supported by several years of startup experience bringing complex AI systems into production.

Gavin completed his PhD at ETH Zurich, focusing on sensing, control, and robot learning for dexterous manipulation. At Flexion, he develops learning-based systems for reliable real-world humanoid manipulation.

Xing did his PhD at Technische Universität Berlin, where his research focused on how robots learn complex contact-rich manipulation from human demonstration. He brings his extensive expertise in this field to the Flexion manipulation team.

Hardik holds an MSc in Computer Science from ETH Zurich, where he specialized in robot perception, vision-based navigation, and semantic mapping. At Flexion, he contributes to the perception stack to drive intelligent navigation and scene understanding.

Jaski has several years of experience in Swiss robotics start-up and scale-up. At Flexion, he is contributing by writing embedded software and facilitating the AI software-development on the real hardware.

Fabio is currently pursuing a Master’s degree in Robotics with a focus on learning-based methods for legged-robot locomotion. At Flexion, he contributes to developing and validating sim-to-real pipelines for locomotion controllers.

Nic is currently pursuing his PhD in robotics at ETH Zurich, where he specializes in autonomous driving and embodied AI. At Flexion, he works on reinforcement learning-based navigation systems.

Niklas is finalizing his PhD at the University of Amsterdam, focusing on imitation learning, instruction following, and data augmentation. At Flexion, he is part of the control team, with a strong focus on robotic manipulation.

Luca has a a master’s degree in Robotics, specializing in control and navigation on rough terrain. He now applies this expertise to enable our humanoid robots to autonomously navigate large-scale and complex environments.

Lukas has a Master's in Robotics, with a focus on model predictive control and reinforcement learning for legged robots. At Flexion, he works on motion retargeting and imitation of whole-body behaviors for interactive tasks.

Max completed his Master's at ETH Zurich, working on learning-based 3D reconstruction methods for embedded systems. At Flexion, he leverages these methods as perception priors for more fine-grained decision-making.

Patrick has experience in machine learning, low-level software, and hardware. At Flexion, he applies his multidisciplinary knowledge to systems integration. He is also completing a Master’s in Robotics, Systems and Control at ETH.

Anton is a Robotics student from ETH currently focusing on the intersection of hardware and software at Flexion. In the future, he will work on scene representations for manipulation.

Aryan is currently pursuing a Master’s degree in Computer Science at ETH Zurich. He is interning at Flexion, where he contributes to training vision language models to enhance reasoning and decision making capabilities.

Francesco has a background in machine learning and control, with experience in reinforcement learning, computer vision, and state estimation. He is currently interning at Flexion, where he works on the perception pipeline and contributes to learning based visual understanding and estimation.

Juana is pursuing an MSc in Digital Business Administration and has a background in corporate communications and digital marketing. At Flexion, she interns as a Marketing Specialist, supporting brand, communications, and commercial initiatives across content, campaigns, social media, and events.

André completed his Master’s in Robotics at EPFL, conducting his thesis at MIT, where he worked on long-horizon humanoid manipulation. He now brings this expertise to Flexion as an intern, applying reinforcement learning techniques to enable fluid, human-like motion.

Jorit is finishing a Master’s degree in Robotics, focusing on low-level software, reinforcement learning, and multi-agent control. At Flexion, he is interning and contributes to building testing pipelines for deploying advanced control policies on real robotic systems.