Soft Robots for Humanity

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Traditional robotic manipulators are constructed from rigid links and localized joints, which enables large forces and workspaces but creates challenges for safe and comfortable interaction with delicate environments such as the human body. In contrast, many soft robots have a volumetric form factor and continuous bending that allows them to mechanically adapt to their environment — but these same mechanical properties can hinder forceful interactions required for physical assistance and feedback to humans. This talk will examine robotic systems and haptic devices that achieve the best of both worlds by leveraging softness and rigidity to enable novel shape control, generate significant interaction forces, and provide a compliant interface. These soft robots have physical intelligence and artificial intelligence that combine to have significant impact of sustainable development goals including good health and wellbeing, clean water and sanitation, and industry, innovation, and infrastructure.

Learning Objectives:

Define soft robotics.
Describe the advantages and disadvantages of traditional rigid robots and soft robots.
Examine key technological achievements that enable effective physical intelligence and artificial intelligence for soft robots.
Identify applications of soft robots that could impact sustainable development goals.

Speakers:
Allison Okamura
Professor
Stanford University

Moderators:
Guillem Martínez Roura
AI and Robotics Programme Officer
International Telecommunication Union (ITU)


The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities. AI for Good is organized by the International Telecommunication Union (ITU) – the UN specialized agency for information and communication technology – in partnership with 40 UN sister agencies and co-convened with the government of Switzerland.

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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.







Tags:
AI for Good
AI
Artificial Intelligence
Machine Learning
Deep Learning
AI for Good Global Summit
Robotics for Good
Soft robotics for humanity
AI for Good Discovery