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Who we are

We integrate robotics, machine learning, and engineering, applying advances in imitation learning, deep neural perception, and probabilistic control to systems in factories, warehouses, and healthcare.

Our platforms address operational challenges that fixed automation cannot, including high product mix, frequent changeovers, sub-millimetre tolerances, and the need for adaptive systems during deployment.

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Our Team

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Dr Yagna Jadeja

Founder and CEO

Dr Yagna Jadeja is shaping the future of robotics, one breakthrough at a time.

Her early fascination with how machines think, learn, and move has become a career dedicated to intelligent automation. As Founder and CEO of PyCRobo, she leads the company’s research, product development, and commercial strategy with a clear purpose: to bring intelligent robotics out of the laboratory and into real-world industrial and healthcare environments.

Her PhD at the University of Derby, focused on imitation learning for robotic manipulation, was more than an academic milestone. It became the foundation for PyCRobo’s core technology: enabling robots to learn by observing, adapt to changing conditions, and improve through experience. This work earned her the Best PhD Thesis Award at RTIPPR 2024 and recognition from UK Research and Innovation as a Global Talent, Tier 1 Exceptional Talent, in AI and robotics.

With more than a decade of hands-on experience across industrial electronics, computer vision, robotics, and AI, Dr Jadeja has already demonstrated what intelligent automation can achieve. She led an Innovate UK-funded project to develop an AI-driven inspection system for composite materials, with direct relevance to aerospace and advanced manufacturing.

Every part of PyCRobo reflects her vision: the research, the products, and the ambition to build robotic systems that are adaptive, reliable, and ready for real-world deployment. Dr Jadeja does not simply lead PyCRobo. She is the driving force behind it.

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Dr Aaisha Makkar

Advisor & Mentor

Dr Aaisha Makkar brings substantial real-world research experience to her role as Advisor and Mentor at PyCRobo. With deep expertise across machine learning, deep learning, federated learning, and AI-driven cyber security, she provides grounded, practical insight that connects advanced academic research with applied technology development.

Her guidance supports the direction of PyCRobo’s machine learning and AI work with clarity, technical depth, and purpose. As a prolific researcher and published author, Dr Makkar has contributed more than 20 SCI-indexed journal papers to leading IEEE and Elsevier publications and authored Machine Learning in Cognitive IoT, published by CRC Press / Taylor & Francis.

Her international career, including postdoctoral research at Seoul National University of Science and Technology, together with her IEEE membership and UK Global Exceptional Talent recognition, reflects a career built on genuine expertise and academic excellence.

At PyCRobo, Dr Makkar’s expertise translates into thoughtful mentorship, research discipline, and academic rigour that strengthen the foundations of what we build.

Our mission is to create intelligent automation that augments human capability rather than replacing it. PyCRobo systems are designed to handle repetitive, hazardous, and precision-critical work, enabling people to focus on tasks that require judgement, creativity, and expertise.