MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Mateo Guaman Castro

NSH 3305

Title: Self-Supervised Costmap Learning for Off-Road Vehicle Traversability Abstract: Estimating terrain traversability in off-road environments requires reasoning about complex interaction dynamics between the robot and these terrains. However, it is challenging to build an accurate physics model, or create informative labels to learn a model in a supervised manner, for these interactions. We propose a method [...]

Faculty Events
Associate Professor
Robotics Institute,
Carnegie Mellon University

TBA

Newell-Simon Hall 4305

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Learning to Manipulate Using Diverse Datasets

NSH 3305

Abstract: Manipulation is a key challenge in the robotic fields that impedes the deployment of robots in real-world scenarios. While notable advancements have been made in solving high/mid level planning problems, such as decomposing tasks (e.g. "bring me a bottle") into primitives (e.g. "pick up bottle"), the acquisition of fundamental manipulation primitives remains a difficult [...]

MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Gaoyue Zhou

NSH 1305

Title: On Generalization and Benchmarking on Physical Robots   Abstract: Robotics research has seen significant advancements; however, the field remains predominantly demo-driven, making direct comparisons between methods difficult without replicating them on individual setups. While many simulation benchmarks exist, they usually feature contrived datasets and do not accurately reflect real-world performance. In my thesis, we [...]

Faculty Events

Robotics Institute Faculty Retreat

RI Faculty, please hold the date for the 2023 Robotics Institute Faculty Retreat. Invitations and agenda info to follow when it becomes available.

PhD Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

An Effective Learning Framework for Active Perception and a Case Study on Liquid Property Estimation

GHC 6115

Abstract:  Active perception refers to a perception process where robot actions are taken to improve perception. To do this, the robot needs an observation model that knows what it will observe based on the actions it takes. However, existing approaches struggle to learn a good observation model since it needs to account for all possible [...]

MSR Thesis Defense
MSR Student / Research Assistant
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Heng Yu

NSH 4305

Title: Towards Real-time Controllable Neural Face Avatars Abstract: Neural Radiance Fields (NeRF) are compelling techniques for modeling dynamic 3D scenes from 2D image collections. These volumetric representations would be well suited for synthesizing novel facial expressions but for three problems. First, deformable NeRFs are object agnostic and model holistic movement of the scene: they can [...]

MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Winnie Kuang

NSH 4305

Title: Design and Integration of Semantic Mapping System for Forest Fire Mitigation Abstract: Remote sensing technologies can provide an automated approach to monitor and analyze conditions in the forest environment over a period of time for forest maintenance and wildfire mitigation efforts. In particular, unmanned aerial vehicles (UAVs) are a promising remote sensing modality since they [...]

MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Jinqi Luo

NSH 1305

Title: Vision Model Diagnosis: A Generative Perspective Abstract: In the evolving landscape of computer vision, deep learning has emerged as a transformative force, enhancing a myriad of societal facets. The real-world deployment of such a deep vision model requires a reliable evaluation, particularly when the model can have different sensitivities across various semantic attributes and concepts. [...]

MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Daphne Chen

NSH 1305

Title: Learning Task Preferences from Real-World Data Abstract:  In order to provide personalized assistance that is capable of adapting to the needs of unique individuals, it is necessary to understand peoples’ preferences for different tasks. Robot assistance often assumes a static model of the individual, while in the real world, people have different capabilities and needs [...]