MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Seth Karten

NSH 3305

Title: Emergent Communication and Decision-Making in Multi-Agent Teams Abstract: Explicit communication among humans is key to coordinating and learning. In multi-agent reinforcement learning for partially-observable environments, agents may convey information to others via learned communication, allowing the team to complete its task. However, agents need to be able to communicate more than simply referential messages [...]

MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Sashank Tirumala

NSH 4305

Title: Tactile Sensing applied to deformable object manipulation Abstract: The application of robotic manipulation of deformable materials, such as cloth, spans various sectors including fabric manufacturing and domestic laundry management. Historically, most methodologies have employed vision-based sensors as the proprioceptive input to robot policies. However, this study aims to explore an alternate route by leveraging [...]

MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Zhizhu Zhao

NSH 1305

Title: Distilling View-conditioned Diffusion for 3D Reconstruction Abstract: We propose a 3D neural mode-seeking formulation that combines probabilistic generation of unseen regions with faithful reprojection of seen regions in a consistent 3D representation. Feature reprojection methods (NerFormer, PixelNeRF) are 3D consistent, but fail to hallucinate unseen regions. Image generation methods (ViewFormer) generate plausible hallucinations, but generated [...]

MSR Thesis Defense
Research Assistant
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Khiem Vuong

GHC 8102

Title: Scaling up Camera Calibration and Amodal 3D Object Reconstruction for Smart Cities Abstract: Smart cities integrate thousands of outdoor cameras to enhance urban infrastructure, but their automated analysis potential remains untapped due to various challenges. Firstly, the lack of accurate camera calibration information, such as its intrinsics parameters and external orientation, restricts the measurement [...]

MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Tianyuan Zhang

GHC 6501

Title: Surface Ripples: Analyzing Transient Vibrations on Object's Surfaces Abstract: The subtle vibrations on an object's surface contain information about its physical properties and interaction with the environment.  Prior works imaged surface vibration to recover the object's material properties via modal analysis, which discards the transient vibrations propagating immediately after the object is disturbed. In this [...]

MSR Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Anurag Ghosh

NSH 1305

Title: Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection Abstract:    Real-time efficient perception is critical for autonomous navigation and city scale sensing. Orthogonal to architectural improvements, streaming perception approaches have exploited adaptive sampling improving real-time detection performance. In this work, we propose a learnable geometry-guided prior that incorporates rough geometry of the [...]

MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: David Russell

NSH 3305

Title: Using Drones and Remote Sensing to Understand Forests with Limited Labeled Data Abstract: Drones and remote sensing can provide observations of forests at scale, but this raw data needs to be interpreted to further scientific understanding and inform effective management decisions. This thesis studies two problems under the realistic constraint of limited domain-specific training [...]

MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis TallK: Aarrushi Shandilya

NSH 4305

Title: Lights, Camera, Render: Neural Fields for Structured Lighting Abstract: 3D scene reconstruction from 2D image supervision alone is an under-constrained problem. Recent neural rendering frameworks have made great strides in learning 3D scene representations to enable novel view synthesis, but they struggle to reconstruct geometry of low-texture regions or from sparse views. The prevalence of active [...]