Robotics

Robotics

The open stage Robotics features speeches related to the ways robotics will develop and connect with our daily life.

Access to the open stage is possible with: Full, Main and Basic offers.

Room Hosting

Massimo Avvisati
Massimo Avvisati
Head of EdTech R&D @Codemotion S.p.A.
15 JUNE
16 JUNE
17 JUNE
15 june 08:30 - 20:00
16 june 08:30 - 20:00
17 june 08:30 - 18:00
15 june 10:30 - 10:50
15 june 08:30 - 20:00
16 june 08:30 - 20:00
17 june 08:30 - 18:00
17 june 11:00
16 june 16:40
15 june 10:30 - 12:20
15 june 14:30 - 16:10
15 june 19:10 - 20:20
16 june 11:10 - 13:10
16 june 15:20 - 17:10
16 june 18:10 - 19:20
17 june 11:40 - 13:30
17 june 16:30 - 17:50
15 june 20:30 - 22:00
16 june 11:40 - 12:00
17 june 18:00
17 june 09:20 - 10:00
40 min
When a disaster occurs, the most important issue is preserving human lives. In this context, the first 72 hours after the disaster hits are the most critical, which means that search and rescue (SAR) operations must be conducted quickly and efficiently. The response time of disaster management personnel during a natural disaster is key in saving the lives of those in the affected areas. The most efficient situational awareness is achieved through aerial assessment. Using unmanned aerial vehicles (UAVs), first responders can better understand which structures were affected by the event, the extent of the damage to these structures, the state of the transportation infrastructure, and the potential number of people affected by the event. From their high vantage point, teams of UAVs can provide reconnaissance and mapping support; perform structural assessment; identify stranded survivors and direct them to safe locations; and serve as an ad hoc communications infrastructure to connect mobile devices to the nearest radio access network (RAN). This talk describes a vision for leveraging the latest advances in UAVs in disaster management, supported by wireless sensor network (WSN) technology, to enhance the ability of network-assisted disaster prediction, assessment, and response.
17 june 10:20 - 11:00
40 min
Studying the human organism allows AI and Robotics designers to draw inspiration from nature at many levels and in many regards, in principles and function, for engineering new materials, mechanisms, and algorithms, and efforts to create AI and robots as self-regulating artificial lifeforms. Here the presenter describe a novel embodied AI framework using a human-inspired AI cognitive system with robotic hardware embodiment, including naturalistic humanlike face, hands and arms, locomotion, and an extensive software suite including diverse AI algorithms, computer animation tools, and application authoring tools, for exploring humanlike cognition as a holistic, embodied phenomenon. While many morphologies and appearances can be useful for AI agents and robots, humanlike or humanizing AI and robots can especially satisfy the human need for character social interaction, and this can be useful for human-centric AI applications, and for training human-level humanlike AI, by emulating the human functionality.
17 june 13:40 - 14:20
40 min
Miniature robots have the potential to change the paradigm in multiple fields, and the collaboration of a large number of miniature robots in operation at macrostructures is a long-term dream in the engineering and scientific community. One of the future applications will be the in-vitro manipulation of living organisms, in-vivo drug delivery and minimally invasive surgery, massively parallel production processes or waste separation. Therefore the systems using tiny cooperative robots are the subject of numerous research studies due to their potential for applications with high impact on many fields [1]. The state-of-the-art milli/micro-robotic systems adopting magnetically actuated ferromagnetic bodies have become a fast-advancing technological field, and several ground-breaking results have been recently published. Let us mention magnetic soft-bodied robots [2], magnetic robot swarms [3], magnetic mini-robots operated microfluidic systems [4] or magnetically navigated liquid robots. The primary goal of the lecture will be to discuss the major challenges in the field of magnetically guided multiscale actuation. The topic will be set into broader perspectives with functional materials research, additive manufacturing processes and machine learning algorithms, followed by the results of the proof-of-concept research in magnetic insect-scale robots and magnetic soft robots.
17 june 14:40 - 15:20
40 min
Many of us dream of having a helpful robot that can assist us with everyday tasks. But what is missing from today's technologies to make them as proficient at collaboration as we are? Alessandra Sciutti will discuss the importance of establishing mutual understanding between humans and robots, and the machine's need to learn from its experiences and develop the ability to anticipate and adapt to the needs of others.

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