View Proposal

---

Proposer

Christian Dondrup

Title

Bio-Inspired Path Planning for Robotic Arm

Goal

Create a lecture on state-of-the-art methods for bio-inspired path planning for a robot arm

Description

This lecture should focus on the state-of-the-art in path planning for a robot arm. The arm itself does not need to have sensors and the path planning approach can be offline instead of online. The general aim is to identify the most promising approach for offline robot arm path planning from the literature and to create a lecture that introduces this approach. Ultimately, I would like to use the outcome of this to update the content of the Intelligent Robotics course which is currently focusing on Ant Colony Optimisation (ACO) for one of its lectures. Since the 2nd part of the course focuses on bio-inspired robotics, it would be nice if this lecture could also focus on a bio-inspired approach to robotic arm path planning like ACO.

Resources

Background

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

1

Supervisor

Christian Dondrup

Keywords

robotics, robot arm, industrial robotics, industrial robot

Degrees

Master of Engineering in Software Engineering