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Kevin Zerber is a distinguished technologist and entrepreneur, best known as the Co-founder and Chief Technology Officer (CTO) of Ambi Robotics. He possesses deep expertise in artificial intelligence, machine learning, computer vision, and robotics, with a particular focus on developing highly dexterous AI-powered robotic systems for automating complex tasks in the supply chain and logistics industries. Kevin's work centers on bridging the gap between advanced academic research and practical, scalable real-world applications, notably through pioneering 'Simulation-to-Real' AI techniques that enable robots to learn and adapt in dynamic environments. He is driven by the goal of creating intelligent robotic solutions that enhance human productivity and solve significant operational challenges.
Kevin Zerber's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Ambi Robotics, a company at the forefront of AI-powered robotic sorting solutions for e-commerce and supply chain operations. As CTO, he leads the technology vision, development, and deployment of their advanced robotic systems, successfully raising significant venture capital and scaling operations.
Instrumental in the research and development of Dex-Net and similar AI algorithms that leverage vast datasets of synthetic data from simulations to train robots for robust grasping and manipulation in complex, real-world scenarios, significantly accelerating robot learning and adaptability.
Recognized by Forbes for his significant contributions to transforming the manufacturing and logistics industries through innovative AI and robotics technology developed at Ambi Robotics.
During his PhD and postdoctoral research at the University of California, Berkeley, he made substantial contributions to the field of robotic manipulation, learning for grasping, and developing systems that enable robots to handle a wide variety of objects with human-like dexterity.
Overseen the successful deployment of Ambi Robotics' solutions in live production environments for major logistics and e-commerce companies, demonstrating tangible improvements in efficiency and throughput.
University of Connecticut - Year 1982
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Treering is a technology company revolutionizing the yearbook industry. They offer a platform that enables schools, students, and parents to collaboratively create, design, and purchase personalized yearbooks. Key features include easy-to-use design tools, photo sharing capabilities, and the option to add custom pages unique to each student's copy. Treering also focuses on sustainability by printing only the number of books ordered, reducing waste, and planting a tree for every yearbook sold.
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