Innovation

Shadow Robot recently finished a multi-year project working with Google DeepMind to produce a new class of robot hand – reliable and robust enough to survive the challenges of reinforcement learning in the real world, while at the same time dexterous and capable enough to perform human-like manipulation tasks.

The new robot hand has a number of new technologies that can be used in the development of next generation robot hardware, from high speed control architectures based on force-controlled N+1 actuation, to new stereo tactile fingertips capable of sensing the lightest of touches and surviving the high forces typical of grasping and manipulation research.
Shadow Robot tested the new robot hand for thousands of hours – from component-level wear tests to high force self-collision tests and impact testing – and produced a modular robot finger capable of assembly into a wide range of robots with serviceability and reliability at the core of the design.

In this session, we will discuss the design challenges, how we mapped the development space, the technical and practical solutions we developed to address the challenges, and show how these solutions could be applied to other robotics problems.

At the core of our ability to achieve our collective destiny and become an interplanetary species is our ability to effectively support human life and exploration in space.

Join Dr. Satoshi Kitano, VP of Hardware Engineering at GITAI, in a discussion of the robotics technologies that are at the forefront of transforming our capabilities to not only reach new planets, but to support human activity while we are there. We will take a deep dive into the state of the space labor industry and highlight the interesting challenges that inhibit our progress towards rapidly expanding into the final frontier. Moreover, we will examine what a labor abundant space industry will look like with robotics at its center.

AI is increasingly integral to robotics, enhancing capabilities in autonomous navigation, real-time decision-making, and adaptive learning. This session brings together leading robotics developers to learn how they’re deploying, monitoring, and maintaining AI models to ensure optimal performance and reliability in the field.

Precision and adaptability are critical in robotic vision systems, which are now undergoing a major transformation through AI integration. This presentation will explore the evolution of these systems in robotics, from traditional applications to AI-enhanced technologies that are overcoming previous limitations and setting new standards for performance, flexibility, and real-time decision-making.



Join us as we delve into the fundamentals of AI technology and its diverse applications, including assembly and quality assurance, in various manufacturing industries, from automotive to electronics to white goods. We’ll explore practical case studies from Micropsi Industries, showcasing how their AI-driven solutions are reshaping industry standards by enabling robots to adapt to complex and dynamic environments with unprecedented accuracy and efficiency.



Key Takeaways:



The transformative impact of AI on robotic vision systems and their applications



Limitations of traditional vision systems and how AI is addressing these challenges



Real-world examples of AI-enhanced vision systems in robotics



Future trends and competitive advantages of AI-driven vision systems

How is Generative AI being applied to robotics? This panel of robotics industry leaders will discuss the applications of Large Language Models (LLMs) and text generation applications to robotics. It will also explore fundamental ways generative AI can be applied to robotics design, model training, simulation, control algorithms and product commercialization.