activity
20202025
most citedTowards Battery-Free Machine Learning and Inference in Underwater Environments

28 citations · 60 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2025

Wave-Former: Through-Occlusion 3D Reconstruction via Wireless Shape Completion

Laura Dodds, Maisy Lam, Waleed Akbar +2

We present Wave-Former, a novel method capable of high-accuracy 3D shape reconstruction for completely occluded, diverse, everyday objects. This capability can open new application…

cs.CV2025

RISE: Single Static Radar-based Indoor Scene Understanding

Kaichen Zhou, Laura Dodds, Sayed Saad Afzal +1

Robust and privacy-preserving indoor scene understanding remains a fundamental open problem. While optical sensors such as RGB and LiDAR offer high spatial fidelity, they suffer fr…

cs.CV2025

MITO: A Millimeter-Wave Dataset and Simulator for Non-Line-of-Sight Perception

Laura Dodds, Tara Boroushaki, Cusuh Ham +1

The ability to observe the world is fundamental to reasoning and making informed decisions on how to interact with the environment. However, optical perception can often be disrupt…

cs.RO2023★ 7 cited

3D Self-Localization of Drones using a Single Millimeter-Wave Anchor

Maisy Lam, Laura Dodds, Aline Eid +2

We present the design, implementation, and evaluation of MiFly, a self-localization system for autonomous drones that works across indoor and outdoor environments, including low-vi…

cs.NI2023★ 25 cited

A Handheld Fine-Grained RFID Localization System with Complex-Controlled Polarization

Laura Dodds, Isaac Perper, Aline Eid +1

There is much interest in fine-grained RFID localization systems. Existing systems for accurate localization typically require infrastructure, either in the form of extensive refer…

cs.LG2022★ 28 cited

Towards Battery-Free Machine Learning and Inference in Underwater Environments

Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar +5

This paper is motivated by a simple question: Can we design and build battery-free devices capable of machine learning and inference in underwater environments? An affirmative answ…

cs.RO2020

Robotic Grasping of Fully-Occluded Objects using RF Perception

Tara Boroushaki, Junshan Leng, Ian Clester +2

We present the design, implementation, and evaluation of RF-Grasp, a robotic system that can grasp fully-occluded objects in unknown and unstructured environments. Unlike prior sys…