Special Events

Ice Cream Social

RoboLounge and NSH Patio

Join RISO at the Ice Cream Social robolounge @5-7 Wednesday September 4th Free Entry

Seminar
Carnegie Mellon Graphics Colloquium - Ravi Ramamoorthi
Ronald L. Graham Professor of Computer Science Director
University of California, San Diego

Sampling and Signal-Processing for High-Dimensional Visual Appearance in Computer Graphics and Vision

Rashid Auditorium - 4401 Gates and Hillman Centers

Abstract: Many problems in computer graphics and vision, such as acquiring images of a scene to enable synthesis of novel views from many directions for virtual reality, computing realistic images by integrating lighting from many different incident directions across a range of scene pixels and viewing angles, or acquiring and modeling the appearance of realistic materials [...]

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Teaching Robots to Drive: Scalable Policy Improvement via Human Feedback

NSH 3305

Abstract: A long-standing problem in autonomous driving is grappling with the long-tail of rare scenarios for which little or no data is available. Although learning-based methods scale with data, it is unclear that simply ramping up data collection will eventually make this problem go away. Approaches which rely on simulation or world modeling offer some [...]

PhD Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Exploration for Continually Improving Robots

NSH 4305

Abstract: Data-driven learning is a powerful paradigm for enabling robots to learn skills. Current prominent approaches involve collecting large datasets of robot behavior via teleoperation or simulation, to then train policies. For these policies to generalize to diverse tasks and scenes, there is a large burden placed on constructing a rich initial dataset, which is [...]

VASC Seminar
Nataniel Ruiz
Research Scientist
Google

Unlocking Magic: Personalization of Diffusion Models for Novel Applications

3305 Newell-Simon Hall

Abstract: Since the recent advent of text-to-image diffusion models for high-quality realistic image generation, a plethora of creative applications have suddenly become within reach. I will present my work at Google where I have attempted to unlock magical applications by proposing simple techniques that act on these large text-to-image diffusion models. Particularly, a large class of [...]

PhD Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Domesticating Soft Robotics Research and Development with Accessible Biomaterials

Abstract:   Current trends in robotics design and engineering are typically focused on high value applications where high performance, precision, and robustness take precedence over cost, accessibility, and environmental impact.  In this paradigm, the capability landscape of robotics is largely shaped by access to capital and the promise of economic return. This thesis explores an alternative [...]

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Understanding and acting in the 4D world

NSH 4305

Abstract: As humans, we are constantly interacting with and observing a three-dimensional dynamic world; where objects around us change state as they move or are moved, and we, ourselves, move for navigation and exploration. Such an interaction between a dynamic environment and a dynamic ego-agent is complex to model as an ego-agent's perception of the [...]

VASC Seminar
Yingsi Qin
PhD Candidate
Carnegie Mellon University

Instant Visual 3D Worlds Through Split-Lohmann Displays

3305 Newell-Simon Hall

Abstract: Split-Lohmann displays provide a novel approach to creating instant visual 3D worlds that support realistic eye accommodation. Unlike commercially available VR headsets that show content at a fixed depth, the proposed display can optically place each pixel region to a different depth, instantly creating eye-tracking-free 3D worlds without using time-multiplexing. This enables real-time streaming [...]

RI Seminar
Nikolai Matni
Assistant Professor
Department of Electrical and Systems Engineering, University of Pennsylvania

What Makes Learning to Control Easy or Hard?

1403 Tepper School Building

Abstract: Designing autonomous systems that are simultaneously high-performing, adaptive, and provably safe remains an open problem. In this talk, we will argue that in order to meet this goal, new theoretical and algorithmic tools are needed that blend the stability, robustness, and safety guarantees of robust control with the flexibility, adaptability, and performance of machine [...]

RI Seminar
Allison Okamura
Richard W. Weiland Professor of Engineering
Department of Mechanical Engineering, Stanford University

Soft Wearable Haptic Devices for Ubiquitous Communication

1403 Tepper School Building

Abstract: Haptic devices allow touch-based information transfer between humans and intelligent systems, enabling communication in a salient but private manner that frees other sensory channels. For such devices to become ubiquitous, their physical and computational aspects must be intuitive and unobtrusive. The amount of information that can be transmitted through touch is limited in large [...]