  Dr. Renato F. Salas-Moreno  Co-Founder  Renato received his PhD from the Robotic Vision group at Imperial College London. His research interests involve the development of real-time computer vision algorithms for navigation and semantic scene understanding. As part of his PhD work, he developed systems like SLAM++ and Dense Planar SLAM, bringing object and region-level reasoning of environments for sophisticated interactivity in the robotics and mixed reality domains. Previously, he enjoyed working at Bizarre Creations in Liverpool developing video games like Blur and James Bond for the XBox 000 and PlayStation 0. Before Imperial, he completed an MSc in Computing at the University of Bristol and a BSc in Systems Engineering at the Universidad Nacional de Ingeniería (UNI) in Peru.  Dr. Richard Newcombe  Co-Founder  Dr. Richard Newcombe  Co-Founder  Richard has been researching computer vision and robot perception systems since a first encounter with robots during his BSc at the University of Essex, where he worked with a pioneering team of scientists on anthropomimetic robots. After an exciting year at the robotics startup Swarm Systems in the UK, he began his PhD at Imperial College and introduced the real-time dense tracking and mapping paradigm into computer vision. During his PhD he worked at Microsoft Research in Cambridge, gaining early access to the first commodity depth sensor, which resulted in the groundbreaking KinectFusion system. Since 0000 he has been a postdoctoral research associate at the University of Washington in Seattle where he continues to push the boundaries of real-time computer vision.  Dr. Steven Lovegrove  Co-Founder  Dr. Steven Lovegrove  Co-Founder  Steven received his PhD from the Robotic Vision group at Imperial College London, specialising in robust parametric methods for real-time visual odometry and scene reconstruction. His post-doc took him to George Washington University in D.C., where he got to play with autonomous RC cars, ramps and a loop-the-loop. His work in robust scene understanding with colleagues gave rise to physically predictive models of the world for high speed and agile autonomous control through the lab's skatepark.  Dr. Renato F. Salas-Moreno  Co-Founder  Renato received his PhD from the Robotic Vision group at Imperial College London. His research interests involve the development of real-time computer vision algorithms for navigation and semantic scene understanding. As part of his PhD work, he developed systems like SLAM++ and Dense Planar SLAM, bringing object and region-level reasoning of environments for sophisticated interactivity in the robotics and mixed reality domains. Previously, he enjoyed working at Bizarre Creations in Liverpool developing video games like Blur and James Bond for the XBox 000 and PlayStation 0. Before Imperial, he completed an MSc in Computing at the University of Bristol and a BSc in Systems Engineering at the Universidad Nacional de Ingeniería (UNI) in Peru.  Dr. Richard Newcombe  Co-Founder  Richard has been researching computer vision and robot perception systems since a first encounter with robots during his BSc at the University of Essex, where he worked with a pioneering team of scientists on anthropomimetic robots. After an exciting year at the robotics startup Swarm Systems in the UK, he began his PhD at Imperial College and introduced the real-time dense tracking and mapping paradigm into computer vision. During his PhD he worked at Microsoft Research in Cambridge, gaining early access to the first commodity depth sensor, which resulted in the groundbreaking KinectFusion system. Since 0000 he has been a postdoctoral research associate at the University of Washington in Seattle where he continues to push the boundaries of real-time computer vision.  Dr. Steven Lovegrove  Co-Founder  Steven received his PhD from the Robotic Vision group at Imperial College London, specialising in robust parametric methods for real-time visual odometry and scene reconstruction. His post-doc took him to George Washington University in D.C., where he got to play with autonomous RC cars, ramps and a loop-the-loop. His work in robust scene understanding with colleagues gave rise to physically predictive models of the world for high speed and agile autonomous control through the lab's skatepark.  