Course Module
Department of Agricultural Engineering Faculty of Agricultural Technology Universitas Brawijaya
Module name Robotics in Bio-system Module level Undergraduate program
Code TPE4226
Subtitle -
Courses -
Semester(s) 8 Person
responsible for the module
Yusuf Hendrawan, STP, M.App.Life Sc., PhD
Lecturer 1. Dr.Ir. Bambang Dwi Argo, DEA
2. Yusuf Hendrawan, STP, M.App.Life Sc., PhD Language Bahasa Indonesia, English
Relation to curriculum
Compulsory/elective Type of
teaching, contact hours
Contact hours and class size separately for each teaching method: lecture, lesson, practical, project, seminar etc.
Workload 136 hours/semester
Lecture, Exercise, Laboratory session, and private study Credit points 3 SKS / 5 ECTS
Requirements according to the
examination regulations
-
Recommende d prerequisites
TPE 4236 / TPO 4205 Module
objectives/inte nded learning outcomes
ILO-1: An ability to use engineering principles in designing technology products related to the field of agricultural engineering science
ILO-3: An ability to manage and utilize natural resources (agriculture and environment) and the supporting resources (human resources, infrastructure, etc.) in an optimal way and sustainable
ILO-5: An ability to identify, formulating, analyzing and solving problems in the field of agricultural engineering through systems approach
Objectives: This course discusses the concept of standardized robotics based on processor and computer control, sensor engineering, kinematics,
navigation, actuators and interfacing, robotics control techniques, application of vision in robotics in the field of biosystems, and applications of artificial intelligence in biosystem robotics.
Knowledge: familiarity with the concept of standardized robotics based on processor and computer control, sensor engineering, kinematics, navigation, actuators and interfacing, robotics control techniques, application of vision in robotics in the field of biosystems, and applications of artificial intelligence in biosystem robotics
Skills: cognitive – Apply basic knowledge of robotics to solve problems in agriculture and biosystems. Phsycomotoric - practical abilities in controlling processors and computers, the use of sensors, actuators, manipulators, end effectors, and artificial intelligence in solving agricultural and biosystem problems using robotics.
Competences: Student able to evaluate robotics design which includes controls, sensors, actuators, manipulators, modeling techniques, and artificial intelligence in biosystem robotics.
Content Courses:
1) The basic principles of biosystem robotics 2) Biosystem robotics design techniques 3) Control system
4) Robotics mechanics 5) Robotics actuators 6) Robotics kinematics 7) Dynamics of robotics 8) Manipulator design 9) End-effector design 10) Microcontroller 11) Artificial Intelligence
12) Application of robotics in agriculture and biosystems Laboratory practice:
1. Familiarize with basic components of biosystem robotics 2. Practical of Control system
3. Practical of Robotics actuators 4. Practical of Microcontroller 5. Practical of Artificial Intelligence Study and
examination requirements and forms of examination
1. Midterm exam 2. Final term exam 3. Assignment 4. Group assignment
5. Laboratory Practice Report 6. Laboratory Practice Final Exam
How to score:
Midterm Exam(1-5) = 30%
Final Exam (1-4) = 30%
Assignment = 20%
Laboratory Practice (Report, Lab. Exam, Final Project) = 20%
A : 80 < Final Score ≤ 100 B+ : 75 < Final Score ≤ 80 B : 69 < Final Score ≤ 75 C+ : 60 < Final Score ≤ 69 C : 55 < Final Score ≤ 60 D : 50 < Final Score ≤ 55 D+ : 44 < Final Score ≤ 50 E : 0 < Final Score ≤ 44 Media
employed
Class, Online learning system (Zoom and Google Classroom), Laboratory Practice
Reading list 1) Pitowarno, E. 2006. Robotika: desain, kontrol, dan kecerdasan buatan.
Penerbit ANDI
2) Budhiharto, W. 2014. Robotika Modern: teori dan implementasi. Penerbit ANDI
3) Suyadhi, T.D.S. 2019. Buku pintar robotika: bagaimana merancang dan membuat sendiri. Penerbit ANDI
4) Braga, N.C. 2014. Robotics, mechatronics, and artificial intelligence.
Elsevier Science & Technology Pub.
5) Billingsley, J. 2019. Robotics and automation for improving agriculture.
Burleigh dodds Science Publishing
6) Franceschetti, D.R. 2019. Principles of robotics & artificial intelligence. Grey House Publishing
7) Zhang, D., Wei, B. 2017. Robotics and mechatronics for agriculture. CRC Press
8) Kondo, N., Monta, M., Noguchi, N. 2011. Agricultural robots: mechanism and practice. Trans Pacific Press
9) Gingrich, N. 2009. Field robotics power systems: the research and
development of a self-sustaining agricultural field robot power system. LAP LAMBERT Academic Publishing
10)Zhang, Q., Pierce, F.J. 2013. Agricultural automation: fundamentals and practices. CRC Press
