VASC Seminar
Hyunsung Cho
Ph.D. Student
Human-Computer Interaction Institute (HCII) , Carnegie Mellon University

Auptimize: Optimal Placement of Spatial Audio Cues for Extended Reality

3305 Newell-Simon Hall

Abstract:  Spatial audio in Extended Reality (XR) provides users with better awareness of where virtual elements are placed, and efficiently guides them to events such as notifications, system alerts from different windows, or approaching avatars. Humans, however, are inaccurate in localizing sound cues, especially with multiple sources due to limitations in human auditory perception such as [...]

RI Seminar
Nils Napp
Assistant Professor
Electrical and Computer Engineering, Cornell University

Abstraction Barriers for Embodied Algorithms

1403 Tepper School Building

Abstract: Designing robotic systems to reliably modify their environment typically requires expert engineers and several design iterations. This talk will cover abstraction barriers that can be used to make the process of building such systems easier and the results more predictable. By focusing on approximate mathematical representations that model the process dynamics, these representations can [...]

RI Seminar
Axel Krieger
Associate Professor
Department of Mechanical Engineering, Johns Hopkins Whiting School of Engineering

Autonomous Robotic Surgery: Science Fiction or Reality?

1403 Tepper School Building

Abstract:  Robotic assisted surgery (RAS) systems incorporate highly dexterous tools, hand tremor filtering, and motion scaling to enable a minimally invasive surgical approach, reducing collateral damage and patient recovery times. However, current state-of-the-art telerobotic surgery requires a surgeon operating every motion of the robot, resulting in long procedure times and inconsistent results. The advantages of [...]

VASC Seminar
Srinath Sridhar
Assistant Professor
Computer Science, Brown University

Generative Modelling for 3D Multimodal Understanding of Human Physical Interactions

3305 Newell-Simon Hall

Abstract: Generative modelling has been extremely successful in synthesizing text, images, and videos. Can the same machinery also help us better understand how to physically interact with the multimodal 3D world? In this talk, I will introduce some of my group's work in answering this question. I will first discuss how we can enable 2D [...]

Field Robotics Center Seminar
Senior Field Robotics Specialist
Robotics Institute,
Carnegie Mellon University

A retrospective, 40 Years of Field Robotics

CIC CIC Buuilding Conference Room 1, LL Level

Abstract: Chuck has been building and deploying robots in the field for the past 40 years.  In this retrospective he will touch on the robots, people and experiences that have been part of the journey.  From the early days in the 1980s with the Three Mile Island nuclear robots and the first outdoor autonomy robots [...]

RI Seminar
Assistant Professor
Robotics Institute,
Carnegie Mellon University

Learning for Dynamic Robot Manipulation of Deformable and Transparent Objects

1403 Tepper School Building

Abstract: Dynamics, softness, deformability, and difficult-to-detect objects will be critical for new domains in robotic manipulation. But there are complications--including unmodelled dynamic effects, infinite-dimensional state spaces of deformable objects, and missing features from perception. This talk explores learning methods based on multi-view sensing, acoustics, physics-based regularizations, and Koopman operators and proposes a novel multi-finger soft [...]

VASC Seminar
Dr. Yin Yang
Associate Professor
Kahlert School of Computing, University of Utah

High-resolution cloth simulation in milliseconds: Efficient GPU Cloth Simulation with Non-distance Barriers and Subspace Reuse Interactions

3305 Newell-Simon Hall

Abstract: We show how to push the performance of high-resolution cloth simulation, making the simulation interactive (in milliseconds) for models with one million degrees of freedom (DOFs) while keeping every triangle untangled. The guarantee of being penetration-free is inspired by the interior-point method, which converts the inequality constraints to barrier potentials. Nevertheless, we propose a [...]

VASC Seminar
Jiaqi Ma
Assistant Professor
University of Illinois Urbana-Champaign

Practical Challenges and Recent Advances in Data Attribution

3305 Newell-Simon Hall

Abstract: Data plays an increasingly crucial role in both the performance and the safety of AI models. Data attribution is an emerging family of techniques aimed at quantifying the impact of individual training data points on a model trained on them, which has found data-centric applications such as training data curation, instance-based explanation, and copyright [...]