Internship

You are welcome to i) do an internship at Bristol Robotics Lab or ii) join us as a visiting scholar at UoB for a summer project.

2023 Opportunities

2023, Bristol Robotics Lab

  • Imitation Learning for Bimanual Operation
    Supervision team: Dandan Zhang
    Research output:  TBC
     

  • Sim-to-Real Transfer Learning for Robotic Manipulation
    Supervision team: Dandan Zhang
    Research output:  TBC

  • Tactile Perception for Optimized Grasping
    Supervision team: Dandan Zhang
    Research output: 
    TBC

UoB- Faculty Summer Research Internship scheme

Around 30 summer internships for undergraduates will be available in June/July next year (duration: 7 weeks). Please start to develop ideas for projects which can be proposed to the students – this scheme is particularly useful for early career academics who want to gain experience of research supervision. 

05/2022-08/2022

Handheld Controller for Teleoperation

Project Description: 

With the advantages of being compact and lightweight, handheld controllers are attractive tools for teleoperation. Without mechanical linkages, the physical footprint can be significantly reduced. Besides, an intuitive ungrounded design can assist the operators to manipulate the robot through teleoperation in a more natural way without motion constraints. This project aims to develop a handheld controller for remotely controlling a robot. A 9-axis IMU will be adopted to measure the finger gripper’s gesture of the controller and a depth camera will be applied to track its 3d position. The handheld controller will be first tested in a simulated environment and then evaluated on a physical robotic platform.

Essential requirements: Python

Desirable requirements: Signal Processin

05/2022-08/2022

Machine Learning-Based Human-Robot Shared Control

Project Description: 

In most of the current robotic systems, teleoperation dominates the mainstream and is the major form of control. However, most of the tasks contain a lot of relatively simple but repetitive sub-tasks, which brings substantial burdens to the operator.

 

Therefore, it is necessary to bring autonomy to current robotic systems. In this case, we aim to build a machine learning-based human-robot shared control framework, which can automate some of the sub-tasks via learning from demonstration.

Essential requirements: Python programming skills

Desirable requirements: Vision, Machine Learning

05/2022-08/2022

Surgical Tool Segmentation and Localization

Project Description: 

In robotic surgery, tool tracking is important. Despite recent advances in tool tracking, existing approaches may suffer from issues such as occlusions, shadows, motion blur or specular reflections. In this project, real-time surgical tool tracking, segmentation and localization based on deep learning techniques will be explored. The surgical tool will be augmented with feature enhancement to provide effective visual feedback to the operator during teleoperation.

Essential requirements: Python programming skills

Desirable requirements: Vision, Deep learning

05/2022-08/2022

Workspace Analysis for Parallel Robot or Continuum Robot

Project Description: 

Workspace analysis is essential for robotic manipulators, which helps researchers study, evaluate, and optimize their designs based on specific criteria with due consideration of ergonomics and usability. Although workspace analysis is a common research topic, current solutions provide design-specific evaluation, and there is a lack of generic software tools for different hardware configurations. WSRender, a versatile research-oriented framework for workspace analysis and visualization has been proposed. The limitation of the current WSRender version is the lack of a calculation module for parallel robots or continuum robots. Therefore, this project aims to include workspace analysis for parallel robots or continuum robots.

Essential requirements: Matlab

Desirable requirements: Robotics

Internship

2022, University of Bristol


 

  • Real-Time Surgical Tool Tracking for Robotic Surgery
    Intern: Alexandros Floros
    funded by Faculty Summer Research Internship Scheme
    Supervision team: Dandan Zhang
    Research output: 
    Github Link
     

  • Multi-Modality Human-Robot Interaction
    Supervision team: Dandan Zhang
    Research output:  TBC
     

  • Deep Learning-Based Surgical Gesture Recognition
    Supervision team: Dandan Zhang
    Research output:  TBC

2021, Bristol Robotics Lab

  • Imitation Learning for Service Robot
    Supervision team: Dandan Zhang, Nathan Lepora
    Research output: 1 conference paper

2020, Imperial College London

  • Learn from Demonstration for Robotic Surgery
    Supervision team: Dandan Zhang, Benny Lo
    Research output: 1 conference paper

2019, Imperial College London

  • Real-Time Surgical Skill Analysis
    Supervision team: Dandan Zhang, Guang-Zhong Yang
    Research output: 1 journal papers