Faculty Events
Senior Systems Scientist
Robotics Institute,
Carnegie Mellon University

RI Faculty Meeting: Multi-Robot Field Autonomy: A 5 Year Perspective

Newell-Simon Hall 4305

LIVE DEMO! Come see, hear and witness progress made in developing a heterogeneous (wheeled, legged, etc.) team of field deployable mobile robots.  Details will be shared on the history of development of multi-robot autonomy at CMU throughout the previous DARPA Subterranean Challenge, DARPA RACER program, and current ARL projects.  There will be an ongoing live and interactive [...]

Faculty Events

RI Faculty Business Meeting

Newell-Simon Hall 4305

Meeting for RI Faculty. Discussions include various department topics, policies, and procedures. Generally meets weekly.

RI Seminar
Dr. Robert Ambrose
J. Mike Walker '66 Chair Professor
Mechanical Engineering, Texas A&M University

Robots at the Johnson Space Center and Future Plans

1305 Newell Simon Hall

Abstract: The seminar will review a series of robotic systems built at the Johnson Space Center over the last 20 years. These will include wearable robots (exoskeletons, powered gloves and jetpacks), manipulation systems (ISS cranes down to human scale) and lunar mobility systems (human surface mobility and robotic rovers). As all robotics presentations should, this [...]

VASC Seminar
Arun Ross
Professor
Michigan State University

Biometrics in a Deep Learning World

Newell-Simon Hall 3305

Abstract: Biometrics is the science of recognizing individuals based on their physical and behavioral attributes such as fingerprints, face, iris, voice and gait. The past decade has witnessed tremendous progress in this field, including the deployment of biometric solutions in diverse applications such as border security, national ID cards, amusement parks, access control, and smartphones. [...]

PhD Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

Towards Robotic Tree Manipulation: Leveraging Graph Representations

GHC 4405

Abstract: There is growing interest in automating agricultural tasks that require intricate and precise interaction with specialty crops, such as trees and vines. However, developing robotic solutions for crop manipulation remains a difficult challenge due to complexities involved in modeling their deformable behavior. In this study, we present a framework for learning the deformation behavior [...]

PhD Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

Tracking Any”Thing” in Videos

NSH 3001

Abstract: Being able to track anything is one of the fundamental steps to parse and understand a video. In this talk, I will present two pieces of work that tackle this problem at different spatial granularities. In the first half of the talk, I will discuss tracking any video pixel or particle through time in [...]

MSR Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Exploring Diverse Interaction Types for Human in the Loop Robot Learning

NSH 4305

Abstract: Teaching sessions between humans and robots will need to be maximally informative for optimal robot learning and to ease the human’s teaching burden. However, the bulk of prior work considers one or two modalities through which a human can convey information to a robot—namely, kinesthetic demonstrations and preference queries. Moreover, people will teach robots [...]

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Learning Generalizable Robot Skills for Dynamic and Interactive Tasks

GHC 4405

Abstract: Enabling robots to perform complex dynamic tasks such as picking up an object in one sweeping motion or pushing off a wall to quickly turn a corner is a challenging problem. The dynamic interactions implicit in these tasks are critical for successful task execution. Furthermore, given the interactive nature of such tasks, safety, in [...]

PhD Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

Customizing Large-scale Text-to-Image Models

NSH 4305

Abstract: Advancements in large-scale generative models represent a watershed moment. These models can generate a wide variety of objects and scenes with different styles and compositions. However, these models are trained on a fixed snapshot of available data and often contain copyrighted or private images. This assumption makes them lacking in two aspects – (a) [...]

MSR Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Building Robot Hands and Teaching Dexterity

NSH 4305

Abstract: Our shared dream is to have robot humanoids with hands complete similar tasks that humans do. While there are a few robot hands available today, the popular opinion is that they are difficult to use, expensive, and hard to obtain which precludes their ubiquitous usage. We argue that this is not an inherent problem [...]