Special Events

Argo Poster Session

Newell Simon Hall Atrium

Join us for an opportunity to see what Center students have been working on.  Check out an Argo AI self-driving car in person, and grab some free appetizers, soft drinks, and Argo AI swag! All are welcome to attend.

VASC Seminar
Postdoctoral Fellow
Robotics Institute,
Carnegie Mellon University

Representations in Robot Manipulation: Learning to Manipulate Ropes, Fabrics, Bags, and Liquids

3305 Newell-Simon Hall

Abstract: The robotics community has seen significant progress in applying machine learning for robot manipulation. However, much manipulation research focuses on rigid objects instead of highly deformable objects such as ropes, fabrics, bags, and liquids, which pose challenges due to their complex configuration spaces, dynamics, and self-occlusions. To achieve greater progress in robot manipulation of [...]

PhD Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

Human-to-Robot Imitation in the Wild

NSH 4305

Abstract: In this talk, I approach the problem of learning by watching humans in the wild. While traditional approaches in Imitation and Reinforcement Learning are promising for learning in the real world, they are either sample inefficient or are constrained to lab settings. Meanwhile, there has been a lot of success in processing passive, unstructured human [...]

RI Seminar
Soon-Jo Chung
Bren Professor of Aerospace and Control and Dynamical Systems
Department of Aerospace , Caltech

Safe and Stable Learning for Agile Robots without Reinforcement Learning

1305 Newell Simon Hall

Abstract: My research group (https://aerospacerobotics.caltech.edu/) is working to systematically leverage AI and Machine Learning techniques towards achieving safe and stable autonomy of safety-critical robotic systems, such as robot swarms and autonomous flying cars. Another example is LEONARDO, the world's first bipedal robot that can walk, fly, slackline, and skateboard. Stability and safety are often research problems [...]

VASC Seminar
Jean-François Lalonde
Professor
Université Lava

Towards editable indoor lighting estimation

Newell-Simon Hall 3305

Abstract:  Combining virtual and real visual elements into a single, realistic image requires the accurate estimation of the lighting conditions of the real scene. In recent years, several approaches of increasing complexity---ranging from simple encoder-decoder architecture to more sophisticated volumetric neural rendering---have been proposed. While the quality of automatic estimates has increased, they have the unfortunate downside [...]

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Causal Robot Learning for Manipulation

Abstract: Two decades into the third age of AI, the rise of deep learning has yielded two seemingly disparate realities. In one, massive accomplishments have been achieved in deep reinforcement learning, protein folding, and large language models. Yet, in the other, the promises of deep learning to empower robots that operate robustly in real-world environments [...]

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
Project Scientist
Robotics Institute,
Carnegie Mellon University

Computational imaging with multiply scattered photons

Newell-Simon Hall 3305

Abstract:  Computational imaging has advanced to a point where the next significant milestone is to image in the presence of multiply-scattered light. Though traditionally treated as noise, multiply-scattered light carries information that can enable previously impossible imaging capabilities, such as imaging around corners and deep inside tissue. The combinatorial complexity of multiply-scattered light transport makes [...]

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Dense Reconstruction of Dynamic Structures from Monocular RGB Videos

NSH 4305

Abstract: We study the problem of 3D reconstruction of {\em generic} and {\em deformable} objects and scenes from {\em casually-taken} RGB videos, to create a system for capturing the dynamic 3D world. Being able to reconstruct dynamic structures from casual videos allows one to create avatars and motion references for arbitrary objects without specialized devices, [...]