MSR Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

[MSR Thesis Talk] SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

3305 Newell-Simon Hall

Abstract: Dense simultaneous localization and mapping (SLAM) is crucial for numerous robotic and augmented reality applications. However, current methods are often hampered by the non-volumetric or implicit way they represent a scene. This talk introduces SplaTAM, an approach that leverages explicit volumetric representations, i.e., 3D Gaussians, to enable high-fidelity reconstruction from a single unposed RGB-D [...]

Faculty Events
Courtesy Faculty
Robotics Institute,
Carnegie Mellon University

Language: You’ve probably heard of it, read it, written it, gestured it, mimed it… Why can’t robots?

Newell-Simon Hall 4305

Abstract: Language is how meaning is conveyed between humans, and now the basis of foundation models.  By implication, it's the most important modality for all of AGI and will replace the entire robotics control stack as the most important thing for all of us to work on.

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.

VASC Seminar
Yunzhu Li
Assistant Professor
University of Illinois Urbana-Champaign

Foundation Models for Robotic Manipulation: Opportunities and Challenges

Newell-Simon Hall 3305

Abstract: Foundation models, such as GPT-4 Vision, have marked significant achievements in the fields of natural language and vision, demonstrating exceptional abilities to adapt to new tasks and scenarios. However, physical interaction—such as cooking, cleaning, or caregiving—remains a frontier where foundation models and robotic systems have yet to achieve the desired level of adaptability and [...]

RI Seminar
Simon Lucey
Director, Australian Institute for Machine Learning (AIML)
Professor, University of Adelaide

Learning with Less

3305 Newell-Simon Hall

Abstract: The performance of an AI is nearly always associated with the amount of data you have at your disposal. Self-supervised machine learning can help – mitigating tedious human supervision – but the need for massive training datasets in modern AI seems unquenchable. Sometimes it is not the amount of data, but the mismatch of [...]

MSR Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Human Perception of Robot Failure and Explanation During a Pick-and-Place Task

GHC 4405

Abstract: In recent years, researchers have extensively used non-verbal gestures, such as head and arm movements, to express the robot's intentions and capabilities to humans. Inspired by past research, we investigated how different explanation modalities can aid human understanding and perception of how robots communicate failures and provide explanations during block pick-and-place tasks. Through an in-person [...]

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
Kim Baraka
Assistant Professor
Department of Computer Science, Vrije Universiteit Amsterdam

Why We Should Build Robot Apprentices And Why We Shouldn’t Do It Alone

1305 Newell Simon Hall

Abstract: For robots to be able to truly integrate human-populated, dynamic, and unpredictable environments, they will have to have strong adaptive capabilities. In this talk, I argue that these adaptive capabilities should leverage interaction with end users, who know how (they want) a robot to act in that environment. I will present an overview of [...]