Biorobotics for emulating and studying animal locomotion

Channel:
Subscribers:
19,700
Published on ● Video Link: https://www.youtube.com/watch?v=saDA1xIIg4U



Duration: 0:00
418 views
0


The graceful and agile movements of animals are difficult to analyze and emulate because locomotion is the result of a complex interaction of many components, namely the central and peripherical nervous systems, the musculoskeletal system, and the environment. \n\nIn this context, the emerging field of biorobotics, which draws on biological principles to design robots with sensorimotor skills that approach those of animals, is increasingly exploring the use robots to investigate animal locomotion and adaptive behavior, and to test hypotheses about the underlying interactions of body, control and environment. \n\nIn this AI for Good webinar, discover the latest advances and challenges in designing robots that properly emulate animals, and how biorobotics could contribute to advance other fields, such as the design of exoskeletons and prosthetic devices that take more account of human locomotion principles. \n\n Speakers:\nDr Auke Jan Ijspeert, Professor and Head of the Biorobotics Laboratory at EPFL \n\nDr Andrew Biewener, Charles P. Lyman Professor of Biology at Harvard University \n\nDr Robert Full, Howard Hughes Medical Institute Professor of Integrative Biology at the University of California at Berkeley \n\nJoin us for two days of never before presented, state of the art AI solutions and cutting edge knowledge, aligned with the UN Sustainable Development Goals.\nRegister and learn more here: https://aiforgood.itu.int/summit23/\n\nJoin the Neural Network!\nhttps://aiforgood.itu.int/neural-network/\nThe AI for Good networking community platform powered by AI. \nDesigned to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.\n\n Watch the latest #AIforGood videos!\n\n\n Stay updated and join our weekly AI for Good newsletter:\nhttp://eepurl.com/gI2kJ5\n\nCheck out the latest AI for Good news:\nhttps://aiforgood.itu.int/newsroom/\n\nExplore the AI for Good blog:\nhttps://aiforgood.itu.int/ai-for-good-blog/\n\n Connect on our social media:\nWebsite: https://aiforgood.itu.int/\nTwitter: https://twitter.com/AIforGood\nLinkedIn Page: https://www.linkedin.com/company/26511907 \nLinkedIn Group: https://www.linkedin.com/groups/8567748 \nInstagram: https://www.instagram.com/aiforgood \nFacebook: https://www.facebook.com/AIforGood\n\nWhat is AI for Good?\nWe have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets.\nMore than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals.\nAI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.\n\nDisclaimer:\nThe views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.




Other Videos By AI for Good


2023-10-10Food security and AI: From data collection to early warning systems
2023-10-09Computer vision for the next generation of autonomous robots
2023-10-08AI/ML solutions for Climate Change Innovation Factory live pitching session
2023-10-05THE TIME IS NOW | AI for Good Global Summit
2023-10-04AI/ML Challenge Finale: Fault Impact Analysis for 5G using AI/ML
2023-10-04MedPerf, an open benchmarking platform for medical AI
2023-10-03Feeding the future - solving the protein dilemma with the help of AI
2023-10-02AI for patient care: Why, Who, What, When & Where
2023-09-28The robotics revolution in the digital age at EmpoderaLIVE 2023
2023-09-27Building BRICS Artificial Intelligence: Sharing a connected world
2023-09-26Biorobotics for emulating and studying animal locomotion
2023-09-24Imagining the future of work in an AI-driven world | ML Workshop
2023-09-24Accelerating sustainable manufacturing with AI | ML Workshop
2023-09-24Making the most of machine learning to conserve botanical biodiversity
2023-09-24Building a decision-augmentation platform to address global issues | Workshop
2023-09-24The role of AI in tackling climate change & its impacts: from science to early warning | ML Workshop
2023-09-24AI for Health | ML Workshop
2023-09-24Machine learning in communication networks | ML Workshop
2023-09-17Industry 4.0 and Industry 5.0 – How will AI reshape manufacturing automation?
2023-09-05Legal and technical challenges of large generative AI models | ML Workshop
2023-09-052023 Japan challenge | Network Failure Classification using Network Digital Twin