Institution of Mechanical Engineers, London
Free and open to all
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Overview
Robots are often seen as tools for automating tasks, but what happens when the task is complex, dynamic, and unstructured?
This talk will explore the fundamental principles of robotics control, moving beyond simple programming to a more elegant, physics-based approach. We'll show how we can design a robot's behaviour by thinking of it as a virtual mechanical system, using concepts like energy to ensure stable and predictable performance. We will us this virtual mechanism idea to shape a robot's interaction with the world. The core of this talk is a new framework that combines this intuitive, physics-driven design with modern tools like optimization and data-driven techniques. This combination yields new classes of control algorithms that are robust, efficient, and well-suited for contemporary, real-world robotic challenges. We will conclude with a discussion of future research directions and open challenges.
This lecture will be followed by an audience Q&A and all in-person attendees will be invited to join us for a networking drinks reception
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Day 1
18:00 - Agenda
18:00: Lecture
18:30: Q&A
18:45: UKACC Phd winners
19:00: Drinks Reception
20:30: Close of evening
Professor Fulvio Forni: Professor of Control Engineering, University of Cambridge
Control theory and robotics. Operator-theoretic and differential methods for system analysis and control synthesis (contraction, dissipativity, monotonicity, dominance, graphical methods). Nonlinear and event-based control of electro-mechanical systems (saturations, resets, impacts). Modeling and control in robotics, neuromorphic, agritech (Agriforward CDT).
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