PhD Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Unlocking Generalization for Robotics via Scale and Modularity

GHC 4405

Abstract: How can we build generalist robot systems? Looking at fields such as vision and language, the common theme has been large scale end-to-end learning with massive, curated datasets. In robotics, on the other hand, scale alone may not be enough due to the significant multimodality of robotics tasks, lack of easily accessible data and [...]

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Advancing Multimodal Sensing and Robotic Interfaces for Chronic Care

NSH 3305

Abstract: The healthcare system prioritizes reactive care for acute illnesses, often overlooking the ongoing needs of individuals with chronic conditions that require long-term management and personalized care. Addressing this gap through technology can empower patients to better manage their conditions, enhancing independence and quality of life. Multimodal sensing, incorporating inertial, acoustic, and vision-based sensors, within [...]

PhD Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Low-Cost Multimodal Sensing and Dexterity for Deformable Object Manipulation

GHC 4405

Abstract: To integrate robots seamlessly into daily life, they must be able to handle a variety of tasks in diverse environments, like cooking in restaurants or tidying up around the house. Many of the items in these environments are deformable such as fruits or bed sheets and a certain level of dexterity is necessary to [...]

PhD Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Mass-Constrained Robotic Climbing on Irregular Terrain

NSH 3305

Abstract: Climbing robots can operate in steep and unstructured environments that are inaccessible to other ground robots, with applications ranging from the inspection of artificial structures on Earth to the exploration of natural terrain features throughout the solar system. Climbing robots for planetary exploration face many challenges to deployment, including mass restrictions, irregular surface features, [...]

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Towards Annotation-Free Visual-Geometric Representations and Learning for Navigation in Unstructured Environments

GHC 4405

Abstract: Navigation in unstructured environments is a capability critical to many robotics applications such as forestry, construction, disaster response and defense. In these domains, robots have the potential to eliminate much of the dull, dirty and/or dangerous work that is currently performed by humans. Unfortunately, these environments pose a unique set of challenges for navigation [...]