PhD Speaking Qualifier

Abstract: Robotic assembly is a critical category of tasks in modern manufacturing. Compared to a single-robot workstation, a multi-robot system offers several advantages: 1) it expands the system's workspace, 2) improves task efficiency, and, more importantly, 3) enables robots to achieve significantly more complex and dexterous tasks, such as cooperative assembly. However, effectively coordinating the [...]

Abstract: Locomotion across natural environments such as sand, mud, and water presents a fundamental challenge for robots due to the heterogeneous, deformable, and often unpredictable properties of these substrates. In this talk, I will share how mechanical and structural adaptation can enable robust mobility in such complex settings through the development and characterization of two [...]

Abstract: Humans possess an extraordinary ability to manipulate objects, discerning position, shape, and other properties with just a glance. How can robots be endowed with similar perceptual and dexterous manipulation capabilities? In this talk, I will present a method that combines the sample efficiency of traditional model-based approaches with the high generalizability of deep learning [...]

Abstract: Transferring skills between different objects remains one of the core challenges of open-world robot manipulation. Generalization needs to take into account the high-level structural differences between distinct objects while still maintaining similar low-level interaction control. In this paper, we propose an example-based zero-shot approach to skill transfer. Rather than treating skills as atomic, we [...]

TBD - This information will be provided soon.

TBD

TBD