Student Talks
Calendar of Events
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PhD Thesis Defense
Benjamin Attal
Robust Inverse Rendering with Physics-Based Light Transport and Active Sensors
Abstract: Inverse rendering is the process of recovering the shape, materials, and lighting conditions of an environment from a set of images. Both this process as a whole and its individual components are fundamental to applications ranging from medical imaging to astronomy, and from AR/VR to embodied intelligence. In the thesis work discussed in this […]
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PhD Thesis Defense
Shuli Jiang
Communication Efficient and Differentially Private Optimization
Abstract: In modern machine learning, the abundance of data generated across diverse and distributed sources has made distributed training a central paradigm, particularly in large-scale applications such as Federated Learning. However, two key challenges arise in distributed training: ensuring communication efficiency and preserving the privacy of sensitive data used during training. This thesis addresses these […]
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2 events,
MSR Thesis Defense
Steven Man
Scaling in Robot Design for Locomotion and Manipulation
Abstract: The principles of scaling predict significant performance advantages for robots miniaturized to the millimeter and micrometer scales, including faster movements and higher precision. However, realizing these benefits is often hindered by manufacturing limitations and complex system-level interactions. This thesis investigates the effects of scaling on robot design for both manipulation and locomotion through the […]
MSR Thesis Defense
Steven Man
Scaling in Robot Design for Locomotion and Manipulation
Abstract: The principles of scaling predict significant performance advantages for robots miniaturized to the millimeter and micrometer scales, including faster movements and higher precision. However, realizing these benefits is often hindered by manufacturing limitations and complex system-level interactions. This thesis investigates the effects of scaling on robot design for both manipulation and locomotion through the development, fabrication, and characterization of […]
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MSR Thesis Defense
Venkata Nagarjun Pudureddiyur Manivannan
Online-CBGT-Net: A Neuromimetic Architecture for Online Prediction
Abstract: We introduce Online-CBGT-Net, a neuromimetic architecture for interpretable, online prediction in streaming environments. Inspired by the cortico-basal ganglia-thalamic (CBGT) circuit in the mammalian brain, our model integrates evidence accumulation and a reset mechanism for continuous, online decision making. At each time step, the model receives input and incrementally accumulates evidence. A decision is made […]
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PhD Thesis Defense
Saumya Saxena
Learning Generalizable Robot Skills for Dynamic and Interactive Tasks
Abstract: Recent years have seen growing interest in developing robots capable of lifelong reliable operation in human-centric environments. Despite impressive recent progress towards long-horizon tasks such as laundry folding, current efforts are predominantly focused on quasi-static tasks in structured settings. General-purpose assistive robots should be capable of performing a wider range of dynamic and dexterous […]