Project 151: Proactive Human-Robot Collaboration for Smart Manufacturing

Contact Information:

Assistant Prof. Youyi Bi

Project Description and Objectives:

The escalating demand for personalization in modern production has positioned Human-Robot Collaboration (HRC) at the forefront of researchers’ interests. Recent advancements in embodied AI, industrial digital twin, and human intent recognition bridge the knowledge and information gap between human operators, robots, and manufacturing systems. This project aims to introduce a multi-model strategy learning approach for proactive HRC. The main research objectives include:

Collaborative Cognition Learning: Establishing a bi-directional cognitive model to enhance the robot’s perception of human intentions.

(2) Collaborative Prediction Learning: Considering the procedural determinism and possible randomness in human-robot interaction.

Eligibility Requirements:

With a background of mechanical engineering, electrical engineering or computer science.

Use one of the following languages: C/C++, Python, C#

Be passionate about research, treat research work seriously and responsibly, and have good communication and presentation skills.

Main Tasks:

Investigate the mainstream methods for Human-Robot Collaboration (HRC).

Build HRC simulations using platforms such as Unity or NVIDIA Isaac Sim.

Establish connections between the physical robot arm and the simulation platform.

Develop multi-model strategy learning algorithms for proactive HRC.

Validate the algorithms on the physical and simulation platform.

Website:

Lab: https://sites.ji.sjtu.edu.cn/youyibi/

School: https://www.ji.sjtu.edu.cn/