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RECENT VIDEOS

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09.25.2019
16 mins
ILP Video

Session 1: Interaction, Fabrication, and Transportation - Speaker 1 / Block Intro

Brian Anthony
Associate Principal Research Scientist, MIT Institute of Medical Engineering & Science
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09.25.2019
17 mins
ILP Video

Virtuality, Storytelling, and Self

D. Fox Harrell
Director, Imagination, Computation, and Expression Laboratory (ICE)
Professor of Digital Media & AI
The MIT Center for Advanced Virtuality (MIT Virtuality for short) pioneers innovative experiences using technologies of virtuality ? computing systems that construct imaginative experiences atop our physical world. Our approach to engineering and creative practices pushes the expressive potential of technologies of virtuality and simulates social and cognitive phenomena, while intrinsically considering their social and cultural impacts. This talk focuses on an important aspect of such technologies: virtual selves. Indeed nearly early everyone these days uses virtual identities, ranging from accounts for social media and online shopping to avatars in videogames or virtual reality. Given the widespread and growing use of such technologies, it is important to better understand their impacts and to establish innovative and best practices. In this talk, Harrell explores how our social identities are complicated by their intersection with extended reality technologies, videogames, social media, and related digital media forms. With an emphasis on equity, Harrell will explore how virtual identities both implement and transform persistent issues of class, gender, sex, race, ethnicity, and the dynamically construction social categories more generally.
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09.25.2019
17 mins
ILP Video

High Resolution Tactile Sensing for HCI, Robotics and VR/AR

Wojciech Matusik
Esther and Harold E Edgerton Career Development Associate Professor of Electrical Engineering and Computer Science
MIT Department of Electrical Engineering and Computer Science
Humans can feel, weigh and grasp diverse objects, and simultaneously infer their material properties while applying the right amount of force?a challenging set of tasks for a modern robot. Mechanoreceptor networks that provide sensory feedback and enable the dexterity of the human grasp remain difficult to replicate in robots. Although computer-vision-based robot grasping strategies have progressed substantially, there are as yet no equivalent sensing platforms and large-scale datasets with which to probe the use of the tactile information that humans rely on when grasping objects.
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09.25.2019
15 mins
ILP Video

Challenges and opportunities in robotics: from self driving cars to the micro- and nano-scale?

John Leonard
Samuel C Collins Professor of Mechanical and Ocean Engineering
Associate Head for Research, Mechanical Engineering
Co-Director, Ford-MIT Alliance
MIT Department of Mechanical Engineering
We will briefly describe some of the challenges and opportunities in autonomous robotics, with a focus on self-driving cars. Some of the major challenges in include high-resolution 3D mapping, fusing data from multiple types of sensors, and achieving robust decision-making with uncertain perception data. We will also present some thoughts on applying some of the techniques used in self-driving, such as simultaneous localization and mapping (SLAM), to micro- and nano-scale environments.
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09.25.2019
17 mins
ILP Video

Session 1 Q&A

Brian Anthony
D. Fox Harrell
John Leonard
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