ERA Lab – Embodied Robotics & AI Lab

The Embodied Robotics & AI Lab (ERA Lab), led by Dr. Fangyi Zhang, is dedicated to advancing robotics and AI, enabling robots to acquire real-world skills. Since 2014, Dr. Zhang has been actively contributing to research and innovation in these fields. For more details, please refer to the relevant project pages.

We welcome collaborations with industry partners and researchers, as well as students interested in robotics and embodied AI. For inquiries, please contact Dr. Fangyi Zhang.

Robotics and AI

Tactile-based Robotic Manipulation

A project exploring tactile sensing and tactile-based robotic manipulation.

Assessing Compliant Robotic Manipulation with Instrumented Objects

A project investigating using instrumented objects to assess compliant robotic manipulation performance.

Deep Learning and Its Utility for Data Mining and Computer Vision

This is the research I did at the Alibaba DAMO Academy.

Learning Real-world Visuo-motor Policies from Simulation

This is my Ph.D. project in the Australian Centre for Robotic Vision at QUT, with supervisions from Prof. Peter Corke, Dr. Jürgen Leitner, Prof. Michael Milford and Dr. Ben Upcroft.

Robotic Manipulation for Warehouse and Household Applications

Amazon Picking Challenge (2016) As part of the Team ACRV for the Amazon Picking Challenge 2016, I worked on hand-eye calibration with Dr. Leo Wu. Household Applications This is a project I worked on during my visit to the Perception and Robotics Group at the University of Maryland, College Park, Sep-Dec 2016.

VLC-Based Indoor Localization

This is a project I worked on with Prof. Ming Liu and Mr. Kejie Qiu when I was a research assistant in the RAM-LAB at HKUST. The project developed a beacon code selection algorithm and a decomposition algorithm for blindly mixed beacon signals, based on CDMA code selection principles and Gold-sequence correlation properties.