Project details

School of Electrical & Electronic Engineering


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Proj No. B3092-251
Title Robotic Manipulation System using Advanced Deep Learning Technique
Summary This project focuses on developing and exploring advanced robotic systems specialized in robotic manipulation. The project involves enhancing the robotic system's ability to perceive its environment and perform actions to achieve specific tasks using deep learning and reinforcement learning technologies. These technologies are crucial for enabling the robot to adapt to new environments through self-learning capabilities, moving away from traditional human-designed feature engineering. The student will contribute to both the research (implementation of deep learning algorithms) and experimental phases of the project.
The student will gain practical experience in intelligent robotics, participating in cutting-edge research and obtaining hands-on training in various technical fields. These include Linux/Robot Operating System (ROS) programming, deep learning frameworks like TensorFlow and PyTorch, robot manipulation, computer vision, and system design.
Pre-requisite: 1. Design and implement AI algorithms for computer vision tasks in robotic manipulation.
2. Test and deploy these algorithms on edge devices within the robotic system.

Students should have a basic knowledge of C++ or Python programming. Familiarity with deep learning frameworks such as PyTorch or TensorFlow is preferred.
Supervisor A/P Lin Zhiping (Loc:S2 > S2 B2A > S2 B2A 14, Ext: +65 67906857)
Co-Supervisor -
RI Co-Supervisor Dr Zhu Haiyue (RI)
Lab  
Single/Group: Single
Area: Smart Electronics and IC design
ISP/RI/SMP/SCP?: RI:
Singapore Institute of Manufacturing Technology (SIMTech)
Dr Zhu Haiyue
Scientist I
Email: ZHU_HAIYUE@SIMTECH.A-STAR.EDU.SG
Tel: 65903158; Fax:
Available for Phase 2 selection?
(for RI projects only)
No