Carnegie Mellon University
Towards Reconstructing Non-rigidity from Single Camera
Abstract: In this talk we will discuss how to infer 3D from images captured by a single camera, without assuming the target scenes / objects being static. The non-static setting makes our problem ill-posed and challenging to solve, but is vital in practical applications where target-of-interest is non-static. To solve ill-posed problems, the current trend [...]
SCS Master’s Diploma Ceremony followed by Reception
Ceremony: 11:30 a.m. Auditorium, Soldiers & Sailors Memorial Hall & Museum 4141 Fifth Avenue, Pittsburgh, PA 15213 Reception: Following ceremony Grand Ballroom, Soldiers & Sailors Memorial Hall & Museum 4141 Fifth Avenue, Pittsburgh, PA 15213
SCS PhD Hooding Ceremony followed by Reception
SCS PhD Hooding Ceremony: 11 a.m. Kresge Theatre, College of Fine ArtsReception: Following ceremony Gates Hillman Center, 6th floor
The President’s Reception in honor of CMU’s Doctoral Candidates
Commencement Ceremony
UG Diploma Ceremony followed by Reception
Navigating to Objects in the Real World
Abstract: Semantic navigation is necessary to deploy mobile robots in uncontrolled environments like our homes, schools, and hospitals. Many learning-based approaches have been proposed in response to the lack of semantic understanding of the classical pipeline for spatial navigation, which builds a geometric map using depth sensors and plans to reach point goals. Broadly, end-to-end [...]
RI Faculty Social
Please join us for our RI Faculty Social. Heavy appetizers and beverages will be served.
MSR Thesis Talk: Sarvesh Patil
Title: Soft Delta Robots for Dexterous Manipulation Abstract: Dexterous manipulation capabilities of end-effectors afford us a wide range of strategies for fine-grained manipulation tasks. Recent utilization of readily available materials like soft filaments and silicone elastomers has enabled the development of low-cost mechanically intelligent robotic manipulators. This is important for democratizing robot manipulation and increasing [...]
Large Scale Dense 3D Reconstruction via Sparse Representations
Abstract: Dense 3D scene reconstruction is in high demand today for view synthesis, navigation, and autonomous driving. A practical reconstruction system inputs multi-view scans of the target using RGB-D cameras, LiDARs, or monocular cameras, computes sensor poses, and outputs scene reconstructions. These algorithms are computationally expensive and memory-intensive due to the presence of 3D data. [...]