Now showing items 71-75 of 75
Terrain-Aware Bipedal Locomotion
(2023)
Bipedal robots provide a path forward for autonomous systems to operate seamlessly in human-designed environments. They can traverse terrains compatible with wheeled robots and provide improved access to shelves and cabinets ...
Efficient Deep Learning Accelerator Architectures by Model Compression and Data Orchestration
(2022)
Deep neural networks (DNNs) have become the primary methods to solve machine learning and artificial intelligence problems in the fields of computer vision, natural language processing, and robotics. The advancements in ...
Advances in Image Reconstruction for Digital Breast Tomosynthesis
(2024)
Digital breast tomosynthesis (DBT) is an important imaging modality for breast cancer screening and diagnosis. It acquires a sequence of projection views within a limited angle and provides quasi-three-dimensional images ...
Improving Articulated Pose Tracking and Contact Force Estimation for Qualitative Assessment of Human Actions
(2024)
Using video to automate human performance metrics or skill analysis is an important but underexplored task. Currently, measuring the quality of an action can be highly subjective, where even assessments from experts are ...
Towards a Fall-Tolerant Framework for Bipedal Robots
(2024)
This dissertation focuses on developing a fall-tolerant framework for bipedal robots, aiming to enhance their ability to navigate challenging situations by effectively assessing, adapting, and responding to uncertainties ...