An Dang

I am currently a first-year Robotics PhD student studying at the University of Michigan, Ann Arbor (where I also received my Robotics M.S.). I work under Professor Nima Fazeli at the Manipulation and Machine Intelligence (MMint) Lab. I received my B.S. in Computer Science from the University of California, Irvine in 2023.
LinkedIn Github

andang@umich.edu

Hydrosoft: Non-Holonomic Hydroelastic Models for Compliant Tactile Manipulation

Miquel Oller, An Dang, Nima Fazeli
Hydrosoft is a computationally efficient, path-dependent, and differentiable model for simulating and controlling soft, compliant robotic components in dexterous manipulation tasks.
Webpage • PDF • Code (Soon)

Bimanual In-hand Manipulation using Dual Limit Surfaces

An Dang, James Lorenz, Xili Yi, Nima Fazeli (Arxiv Only)
Performing slippage-free optimization-based planning through patch contact modelling.
Webpage • PDF • Code

Dual asymmetric limit surfaces and their applications to planar manipulation

Xili Yi, An Dang, Nima Fazeli
Patch contact modelling for tabletop manipulation (extended to incline surfaces).
PDF • Code

Benchmarking State Estimation Algorithms for Output Feedback Model Predictive Control of Spacecraft Autonomous Rendezvous and Docking

An Dang, David A Copp
Benchmarking state estimation algorithms and their effect on Model Predictive Control for Spacecraft Proximity Missions.
PDF • Code

Object Tracking on Augmented Reality Headset (Microsoft Hololens 2)

An Dang, Justin Yue
Implemented object tracking algorithms onboard Hololens 2 device and added visualization for user interaction.
Code

UAV Forge (Computer Vision) 2022

An Dang, Vincent Chen
Combining Yolov5 with classical computer vision techniques to detect/segment out objects, extract inscribed letters, and localize object in real world.
Code